{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/victor/.local/lib/python3.6/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use \"pip install psycopg2-binary\" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.\n",
      "  \"\"\")\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import math\n",
    "import json\n",
    "import time\n",
    "import itertools\n",
    "from scipy import stats\n",
    "import psycopg2 as psql\n",
    "from psycopg2.extras import RealDictCursor\n",
    "\n",
    "import sys\n",
    "sys.path.append(\"..\")\n",
    "from tools.flight_projection import *\n",
    "from tools.conflict_handling import *\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set(color_codes=True)\n",
    "\n",
    "try:\n",
    "    conn = psql.connect(\"dbname='thesisdata' user='postgres' host='localhost' password='postgres'\")\n",
    "except Exception as e:\n",
    "    print(\"Unable to connect to the database.\")\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "# path = '/mnt/59069d64-9ea5-4e20-9f29-fe60f14628ea/Thesis_data/DDR2 2018/allft+_columns.txt'\n",
    "path = '/mnt/59069d64-9ea5-4e20-9f29-fe60f14628ea/Thesis_data/DDR2 2018/2018/ALL_FT+.20180501'\n",
    "df = pd.read_csv(path, names=[str(i) for i in range(172)],\n",
    "                              sep=';', usecols=[str(ii) for ii in \n",
    "                                                [0, 1, 2, 4, 5, 7,\n",
    "                                                 57, 84, 85, 86, 87, 98, 99, 112, 113, 162, 163]])\n",
    "\n",
    "df.columns = ['org', 'dst', 'icao', 'ac_type', 'start_t', 'end_t',\n",
    "                           'callsign', 'flight_length', 'fl_points', 'flight_length_as', 'fl_points_as', \n",
    "             'flight_length_1', 'fl_points_1',\n",
    "             'flight_length_2', 'fl_points_2',\n",
    "             'flight_length_3', 'fl_points_3']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>org</th>\n",
       "      <th>dst</th>\n",
       "      <th>icao</th>\n",
       "      <th>ac_type</th>\n",
       "      <th>start_t</th>\n",
       "      <th>end_t</th>\n",
       "      <th>callsign</th>\n",
       "      <th>flight_length</th>\n",
       "      <th>fl_points</th>\n",
       "      <th>flight_length_as</th>\n",
       "      <th>fl_points_as</th>\n",
       "      <th>flight_length_1</th>\n",
       "      <th>fl_points_1</th>\n",
       "      <th>flight_length_2</th>\n",
       "      <th>fl_points_2</th>\n",
       "      <th>flight_length_3</th>\n",
       "      <th>fl_points_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LTAI</td>\n",
       "      <td>LTBJ</td>\n",
       "      <td>TCARD</td>\n",
       "      <td>CL60</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>TCARD</td>\n",
       "      <td>39.0</td>\n",
       "      <td>20180501112200:LTAI:EVBOL1B:2:0:A:365401N03047...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20180501112214:LTAIYNL:20180501112526:ES:36543...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>20180501105700:LTAI:EVBOL1B:2:0:A:365401N03047...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>EBBR</td>\n",
       "      <td>EKCH</td>\n",
       "      <td>BEL4CP</td>\n",
       "      <td>SU95</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>EIFWF</td>\n",
       "      <td>52.0</td>\n",
       "      <td>20180501174400:EBBR:NIK3C:2:0:A:505405N0042904...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20180501174432:EBBRTA:20180501174633:ES:505526...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.0</td>\n",
       "      <td>20180501173700:EBBR:NIK3C:2:0:A:505405N0042904...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LTBA</td>\n",
       "      <td>OPLA</td>\n",
       "      <td>THY714E</td>\n",
       "      <td>A333</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>TCLOG</td>\n",
       "      <td>69.0</td>\n",
       "      <td>20180430174500:LTBA:MOPIN1B:2:0:A:405834N02848...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20180430174500:LTBASAN:20180430174815:ES:40583...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69.0</td>\n",
       "      <td>20180430174300:LTBA:MOPIN1B:2:0:A:405834N02848...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>OPKC</td>\n",
       "      <td>LTBA</td>\n",
       "      <td>THY6550</td>\n",
       "      <td>A332</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>TCJDP</td>\n",
       "      <td>92.0</td>\n",
       "      <td>20180430190500:OPKC:DCT:0:0:A:245405N0670900E:...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>20180430195500:OIIXALL:20180430223600:ES:27355...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.0</td>\n",
       "      <td>20180430184800:OPKC:DCT:0:0:A:245405N0670900E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LEVC</td>\n",
       "      <td>LEPA</td>\n",
       "      <td>VLG395X</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>ECMXG</td>\n",
       "      <td>34.0</td>\n",
       "      <td>20180430211000:LEVC:ORVUS1A:2:0:A:392922N00028...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20180430211000:LECLVVLC:20180430212157:ES:3929...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "      <td>20180430210800:LEVC:ORVUS1G:2:0:A:392922N00028...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>UKKK</td>\n",
       "      <td>EDDH</td>\n",
       "      <td>WZZ7317</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>HALYX</td>\n",
       "      <td>69.0</td>\n",
       "      <td>20180501100000:UKKK:KR1K:6:0:A:502407N0302707E...</td>\n",
       "      <td>28.0</td>\n",
       "      <td>20180501100000:UKBVTC5:20180501100156:ES:50240...</td>\n",
       "      <td>69.0</td>\n",
       "      <td>20180501100000:UKKK:KR1K:6:0:A:502407N0302707E...</td>\n",
       "      <td>147.0</td>\n",
       "      <td>20180501100600:UKKK:KR1K:6:0:A:502407N0302707E...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>EDDF</td>\n",
       "      <td>DTTA</td>\n",
       "      <td>TAR745</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>TSIMF</td>\n",
       "      <td>74.0</td>\n",
       "      <td>20180501124400:EDDF:ANEKI9L:4:0:A:500200N00834...</td>\n",
       "      <td>31.0</td>\n",
       "      <td>20180501124400:EDGGADF:20180501124854:ES:50020...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125.0</td>\n",
       "      <td>20180501130900:EDDF:ANEKI9L:4:0:A:500200N00834...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LEBB</td>\n",
       "      <td>EHAM</td>\n",
       "      <td>KLM1686</td>\n",
       "      <td>E190</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>PHEXY</td>\n",
       "      <td>62.0</td>\n",
       "      <td>20180501100400:LEBB:BISKA3A:1:0:A:431804N00254...</td>\n",
       "      <td>21.0</td>\n",
       "      <td>20180501100400:LEBBTA:20180501101045:ES:431804...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>20180501100400:LEBB:BISKA3A:1:0:A:431804N00254...</td>\n",
       "      <td>121.0</td>\n",
       "      <td>20180501095900:LEBB:BISKA3A:1:0:A:431804N00254...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>EDDF</td>\n",
       "      <td>VTBS</td>\n",
       "      <td>DLH772</td>\n",
       "      <td>A343</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>DAIGT</td>\n",
       "      <td>97.0</td>\n",
       "      <td>20180430202100:EDDF:SULUS8L:4:0:A:500200N00834...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>20180430202100:EDGGADF:20180430202817:ES:50020...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>20180430202600:EDDF:SULUS8L:4:0:A:500200N00834...</td>\n",
       "      <td>133.0</td>\n",
       "      <td>20180430202200:EDDF:SULUS8L:4:0:A:500200N00834...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>LIPX</td>\n",
       "      <td>LICJ</td>\n",
       "      <td>RYR97VR</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>EIDLD</td>\n",
       "      <td>47.0</td>\n",
       "      <td>20180501184000:LIPX:BOA5H:2:0:A:452347N0105316...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20180501184000:LIPXCR:20180501184743:ES:452347...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.0</td>\n",
       "      <td>20180501183900:LIPX:DCT:2:0:A:452347N0105316E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>EDDT</td>\n",
       "      <td>EDDF</td>\n",
       "      <td>EZY376P</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>ESSAP</td>\n",
       "      <td>43.0</td>\n",
       "      <td>20180501045100:EDDT:BRANE2L:1:0:A:523335N01317...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20180501045100:EDWWDBAT:20180501045342:ES:5233...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67.0</td>\n",
       "      <td>20180501044100:EDDT:BRANE2L:1:0:A:523335N01317...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>EGSS</td>\n",
       "      <td>LFMN</td>\n",
       "      <td>RYR64NW</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>EIDPO</td>\n",
       "      <td>73.0</td>\n",
       "      <td>20180501173500:EGSS:NUGBO1R:3:0:A:515306N00014...</td>\n",
       "      <td>39.0</td>\n",
       "      <td>20180501173500:EGSSALL:20180501173742:ES:51530...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>123.0</td>\n",
       "      <td>20180501173600:EGSS:NUGBO1R:3:0:A:515306N00014...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>EGPD</td>\n",
       "      <td>EGPB</td>\n",
       "      <td>LOG858</td>\n",
       "      <td>SB20</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>GLGNP</td>\n",
       "      <td>30.0</td>\n",
       "      <td>20180501054000:EGPD:DCT:2:0:A:571209N0021153W:...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20180501054000:EGPDCR:20180501054457:ES:571209...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.0</td>\n",
       "      <td>20180501054400:EGPD:DCT:2:0:A:571209N0021153W:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>EGKK</td>\n",
       "      <td>LIRN</td>\n",
       "      <td>EZY96JG</td>\n",
       "      <td>A319</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>GEZBW</td>\n",
       "      <td>73.0</td>\n",
       "      <td>20180501182000:EGKK:BOGNA1X:2:0:A:510853N00011...</td>\n",
       "      <td>37.0</td>\n",
       "      <td>20180501182000:EGTTWILFI:20180501182118:ES:510...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>156.0</td>\n",
       "      <td>20180501182600:EGKK:BOGNA1X:2:0:A:510853N00011...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>LTAI</td>\n",
       "      <td>USSS</td>\n",
       "      <td>SDM5886</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>VPBGR</td>\n",
       "      <td>80.0</td>\n",
       "      <td>20180501175200:LTAI:HISAR1F:2:0:A:365401N03047...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>20180501175255:LTAIYEL:20180501175552:ES:36511...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>20180501181200:LTAI:HISAR1F:2:0:A:365401N03047...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>EGLL</td>\n",
       "      <td>ENGM</td>\n",
       "      <td>BAW6VK</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>GEUYR</td>\n",
       "      <td>81.0</td>\n",
       "      <td>20180501184500:EGLL:BPK7G:1:0:A:512839N0002741...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>20180501184500:EGTTMIDFI:20180501184632:ES:512...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115.0</td>\n",
       "      <td>20180501184200:EGLL:BPK7F:1:0:A:512839N0002741...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ULLI</td>\n",
       "      <td>UBBB</td>\n",
       "      <td>AHY9020</td>\n",
       "      <td>E190</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>4KAZ67</td>\n",
       "      <td>67.0</td>\n",
       "      <td>20180501202000:ULLI:DCT:1:0:A:594801N0301545E:...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20180501202000:ULLLALL:20180501204900:ES:59480...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67.0</td>\n",
       "      <td>20180501203827:ULLI:DCT:1:0:A:594801N0301545E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>LTBA</td>\n",
       "      <td>UTAK</td>\n",
       "      <td>TUA3274</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>EZA020</td>\n",
       "      <td>60.0</td>\n",
       "      <td>20180501092000:LTBA:MOPIN1A:2:0:A:405834N02848...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20180501092020:LTBASAS:20180501092245:ES:40573...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>20180501093700:LTBA:MOPIN1A:2:0:A:405834N02848...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>LIRF</td>\n",
       "      <td>LIBR</td>\n",
       "      <td>RYR7103</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>EIFOM</td>\n",
       "      <td>43.0</td>\n",
       "      <td>20180501063000:LIRF:SIPRO8A:0:0:A:414801N01214...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20180501063232:LIRRPS1:20180501063536:ES:41401...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.0</td>\n",
       "      <td>20180501062500:LIRF:SIPRO8A:0:0:A:414801N01214...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>DABB</td>\n",
       "      <td>LFML</td>\n",
       "      <td>DAH1150</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>20180501073600:DABB:DCT:0:0:A:364920N0074834E:...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>20180501073600:DAAATNEX:20180501080005:ES:3649...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</td>\n",
       "      <td>20180501074900:DABB:DCT:0:0:A:364920N0074834E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>UMMS</td>\n",
       "      <td>UKLL</td>\n",
       "      <td>BRU827</td>\n",
       "      <td>B735</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>20180501102000:UMMS:DCT:7:0:A:535257N0280151E:...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20180501102007:UMMVS2:20180501104757:ES:535258...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.0</td>\n",
       "      <td>20180501101300:UMMS:DCT:7:0:A:535257N0280151E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ESGG</td>\n",
       "      <td>LFPG</td>\n",
       "      <td>AFR1353</td>\n",
       "      <td>E170</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</td>\n",
       "      <td>20180501102500:ESGG:VADIN2J:5:0:A:573936N01217...</td>\n",
       "      <td>29.0</td>\n",
       "      <td>20180501102511:ESGGTW:20180501103220:ES:573911...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0</td>\n",
       "      <td>20180501103400:ESGG:VADIN2J:5:0:A:573936N01217...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>LCLK</td>\n",
       "      <td>UUEE</td>\n",
       "      <td>AFL2071</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>VPBGI</td>\n",
       "      <td>72.0</td>\n",
       "      <td>20180501231000:LCLK:RUDER2B:0:0:A:345244N03337...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20180501231000:LCLKCR:20180501231653:ES:345244...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>91.0</td>\n",
       "      <td>20180501230100:LCLK:RUDER1C:0:0:A:345244N03337...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>EFHK</td>\n",
       "      <td>VHHH</td>\n",
       "      <td>FIN99</td>\n",
       "      <td>A359</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>OHLWD</td>\n",
       "      <td>67.0</td>\n",
       "      <td>20180501210100:EFHK:ARVEP1N:2:0:A:601902N02457...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20180501210100:EFHKTA:20180501211248:ES:601902...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>20180501210600:EFHK:ARVEP1N:2:0:A:601902N02457...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>EVRA</td>\n",
       "      <td>LKPR</td>\n",
       "      <td>BTI479</td>\n",
       "      <td>DH8D</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>YLBAX</td>\n",
       "      <td>40.0</td>\n",
       "      <td>20180501042500:EVRA:ASKOR4E:0:0:A:565525N02358...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20180501042500:EVRRAPP:20180501044000:ES:56552...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.0</td>\n",
       "      <td>20180501041800:EVRA:ASKOR4E:0:0:A:565525N02358...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>LOWW</td>\n",
       "      <td>EVRA</td>\n",
       "      <td>BTI434</td>\n",
       "      <td>BCS3</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>YLCSF</td>\n",
       "      <td>58.0</td>\n",
       "      <td>20180501165800:LOWW:LEDVA2B:6:0:A:480637N01634...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20180501165952:LOWWVMA:20180501170700:ES:48051...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.0</td>\n",
       "      <td>20180501165500:LOWW:WGM1A:6:0:A:480637N0163411...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>LTAI</td>\n",
       "      <td>LTBA</td>\n",
       "      <td>THY3SY</td>\n",
       "      <td>B77W</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>TCJJY</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20180501174700:LTAI:EKSEN1B:2:0:A:365401N03047...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20180501174708:LTAIYNL:20180501175021:ES:36543...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20180501174200:LTAI:EKSEN1B:2:0:A:365401N03047...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>EGGW</td>\n",
       "      <td>EHAM</td>\n",
       "      <td>VLG8405</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>ECMES</td>\n",
       "      <td>40.0</td>\n",
       "      <td>20180501084500:EGGW:MATCH2Y:5:0:A:515229N00022...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20180501084500:EGTTMIDFI:20180501084616:ES:515...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>20180501094218:EGGW:MATCH2Y:5:0:A:515229N00022...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>20180501093700:EGGW:MATCH2Y:5:0:A:515229N00022...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>OLBA</td>\n",
       "      <td>OKBK</td>\n",
       "      <td>JZR267</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>9KCAO</td>\n",
       "      <td>52.0</td>\n",
       "      <td>20180501200000:OLBA:DCT:0:0:A:334909N0352924E:...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20180501200000:OLBBALL:20180501200939:ES:33490...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "      <td>20180501201100:OLBA:DCT:0:0:A:334909N0352924E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33873</th>\n",
       "      <td>LBSF</td>\n",
       "      <td>LTBA</td>\n",
       "      <td>THY85M</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>TCJVA</td>\n",
       "      <td>54.0</td>\n",
       "      <td>20180501071100:LBSF:GOL2S:17:0:A:424142N023243...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20180501071100:LBSFTA:20180501071924:ES:424142...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>20180501070300:LBSF:GODEK5A:17:0:A:424142N0232...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33874</th>\n",
       "      <td>EDDW</td>\n",
       "      <td>LEPA</td>\n",
       "      <td>EWG5MX</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>OEIEU</td>\n",
       "      <td>78.0</td>\n",
       "      <td>20180430204800:EDDW:BASUM4A:0:0:A:530251N00847...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>20180430204800:EDWWFRI:20180430205154:ES:53025...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145.0</td>\n",
       "      <td>20180430204600:EDDW:BASUM4A:0:0:A:530251N00847...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33875</th>\n",
       "      <td>EGPE</td>\n",
       "      <td>EGKK</td>\n",
       "      <td>EZY82UA</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>OEIJB</td>\n",
       "      <td>57.0</td>\n",
       "      <td>20180501141000:EGPE:DCT:0:0:A:573233N0040251W:...</td>\n",
       "      <td>30.0</td>\n",
       "      <td>20180501141000:EGPECR:20180501141107:ES:573233...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117.0</td>\n",
       "      <td>20180501140900:EGPE:DCT:0:0:A:573233N0040251W:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33876</th>\n",
       "      <td>EGKK</td>\n",
       "      <td>LEBL</td>\n",
       "      <td>EZY8581</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>OEIVO</td>\n",
       "      <td>60.0</td>\n",
       "      <td>20180430193500:EGKK:BOGNA1X:2:0:A:510853N00011...</td>\n",
       "      <td>29.0</td>\n",
       "      <td>20180430193500:EGTTWILFI:20180430193630:ES:510...</td>\n",
       "      <td>60.0</td>\n",
       "      <td>20180430193500:EGKK:BOGNA1X:2:0:A:510853N00011...</td>\n",
       "      <td>137.0</td>\n",
       "      <td>20180430193800:EGKK:BOGNA1X:2:0:A:510853N00011...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33877</th>\n",
       "      <td>LLBG</td>\n",
       "      <td>KMIA</td>\n",
       "      <td>ELY017</td>\n",
       "      <td>B772</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>4XECC</td>\n",
       "      <td>93.0</td>\n",
       "      <td>20180501214500:LLBG:PURLA2E:1:0:A:320034N03453...</td>\n",
       "      <td>55.0</td>\n",
       "      <td>20180501214500:LLBGTA:20180501214843:ES:320034...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.0</td>\n",
       "      <td>20180501215900:LLBG:DCT:1:0:A:320034N0345308E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33878</th>\n",
       "      <td>LEMG</td>\n",
       "      <td>LRCL</td>\n",
       "      <td>WZZ4LM</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>HALWY</td>\n",
       "      <td>75.0</td>\n",
       "      <td>20180430200500:LEMG:ROLAS1P:1:0:A:364030N00429...</td>\n",
       "      <td>31.0</td>\n",
       "      <td>20180430200500:LEMGE:20180430201019:ES:364030N...</td>\n",
       "      <td>75.0</td>\n",
       "      <td>20180430201500:LEMG:ROLAS1P:1:0:A:364030N00429...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>20180430201800:LEMG:ROLAS1P:1:0:A:364030N00429...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33879</th>\n",
       "      <td>ELLX</td>\n",
       "      <td>EKCH</td>\n",
       "      <td>LGL5435</td>\n",
       "      <td>DH8D</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>LXLQB</td>\n",
       "      <td>52.0</td>\n",
       "      <td>20180501160500:ELLX:DIK3X:12:0:A:493724N006121...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20180501160500:LSASFPLS:20180501161611:ES:4937...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.0</td>\n",
       "      <td>20180501160100:ELLX:DCT:12:0:A:493724N0061216E...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33880</th>\n",
       "      <td>EKCH</td>\n",
       "      <td>EPWA</td>\n",
       "      <td>LOT462</td>\n",
       "      <td>E195</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>SPLNE</td>\n",
       "      <td>59.0</td>\n",
       "      <td>20180501180000:EKCH:SIMEG8C:0:0:A:553705N01239...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20180501180000:EKCHCR:20180501180149:ES:553705...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.0</td>\n",
       "      <td>20180501182300:EKCH:SIMEG8C:0:0:A:553705N01239...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33881</th>\n",
       "      <td>EDDM</td>\n",
       "      <td>LROP</td>\n",
       "      <td>DLH2EV</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>DAIZJ</td>\n",
       "      <td>54.0</td>\n",
       "      <td>20180501201600:EDDM:KIRDI2E:15:0:A:482114N0114...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>20180501201600:EDMMXTES:20180501201836:ES:4821...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118.0</td>\n",
       "      <td>20180501202311:EDDM:KIRDI2E:15:0:A:482114N0114...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33882</th>\n",
       "      <td>EHGG</td>\n",
       "      <td>EHGG</td>\n",
       "      <td>MPH163</td>\n",
       "      <td>TB20</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>PHMLL</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20180501174000:EHGG:DCT:0:0:A:530730N0063500E:...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20180501174000:EHGGCR:20180501182000:ES:530730...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20180501174000:EHGG:DCT:0:0:A:530730N0063500E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33883</th>\n",
       "      <td>LTBA</td>\n",
       "      <td>VIDP</td>\n",
       "      <td>THY716</td>\n",
       "      <td>B77W</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>TCLKC</td>\n",
       "      <td>63.0</td>\n",
       "      <td>20180501174000:LTBA:MOPIN1B:2:0:A:405834N02848...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20180501174000:LTBASAN:20180501174254:ES:40583...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>20180501174400:LTBA:MOPIN1B:2:0:A:405834N02848...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33884</th>\n",
       "      <td>LBWN</td>\n",
       "      <td>LOWW</td>\n",
       "      <td>AUA764R</td>\n",
       "      <td>A319</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>OELDF</td>\n",
       "      <td>42.0</td>\n",
       "      <td>20180501112000:LBWN:BALIK2N:2:0:A:431355N02749...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20180501112000:LBWNTA:20180501112743:ES:431355...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115.0</td>\n",
       "      <td>20180501112700:LBWN:TOTKA2N:2:0:A:431355N02749...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33885</th>\n",
       "      <td>EKBI</td>\n",
       "      <td>EGSS</td>\n",
       "      <td>RYR5173</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>EIEME</td>\n",
       "      <td>57.0</td>\n",
       "      <td>20180501083500:EKBI:BAMPI3A:2:0:A:554425N00909...</td>\n",
       "      <td>34.0</td>\n",
       "      <td>20180501083500:EKBITA:20180501083926:ES:554425...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125.0</td>\n",
       "      <td>20180501084300:EKBI:DCT:2:0:A:554425N0090906E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33886</th>\n",
       "      <td>KBOS</td>\n",
       "      <td>EDDF</td>\n",
       "      <td>N673HA</td>\n",
       "      <td>GLF6</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>N673HA</td>\n",
       "      <td>73.0</td>\n",
       "      <td>20180501112000:KBOS:DCT:0:0:A:422151N0710020W:...</td>\n",
       "      <td>56.0</td>\n",
       "      <td>20180501112000:KKKKCTA:20180501114416:ES:42215...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>20180501111814:KBOS:DCT:0:0:A:422151N0710020W:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33887</th>\n",
       "      <td>ULLI</td>\n",
       "      <td>EFHK</td>\n",
       "      <td>FIN706</td>\n",
       "      <td>E190</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>OHLKP</td>\n",
       "      <td>40.0</td>\n",
       "      <td>20180501164500:ULLI:DCT:1:0:A:594801N0301545E:...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20180501164500:ULLLALL:20180501170440:ES:59480...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "      <td>20180501164550:ULLI:DCT:1:0:A:594801N0301545E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33888</th>\n",
       "      <td>LSGG</td>\n",
       "      <td>LPPT</td>\n",
       "      <td>EZY37BR</td>\n",
       "      <td>A319</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>GEZBX</td>\n",
       "      <td>61.0</td>\n",
       "      <td>20180430195300:LSGG:DEPUL3A:14:0:A:461418N0060...</td>\n",
       "      <td>30.0</td>\n",
       "      <td>20180430195300:LSGGMID:20180430195446:ES:46141...</td>\n",
       "      <td>61.0</td>\n",
       "      <td>20180430195300:LSGG:DEPUL3A:14:0:A:461418N0060...</td>\n",
       "      <td>142.0</td>\n",
       "      <td>20180430195800:LSGG:DEPUL3A:14:0:A:461418N0060...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33889</th>\n",
       "      <td>EGLL</td>\n",
       "      <td>WMKK</td>\n",
       "      <td>MAS1</td>\n",
       "      <td>A359</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>9MMAE</td>\n",
       "      <td>112.0</td>\n",
       "      <td>20180501210000:EGLL:DET2F:1:0:A:512839N0002741...</td>\n",
       "      <td>54.0</td>\n",
       "      <td>20180501210000:EGTTMIDFI:20180501210013:ES:512...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>157.0</td>\n",
       "      <td>20180501210300:EGLL:DCT:1:0:A:512839N0002741W:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33890</th>\n",
       "      <td>ENMH</td>\n",
       "      <td>ENKR</td>\n",
       "      <td>LTR612</td>\n",
       "      <td>BE20</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>LNLTI</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20180501193000:ENMH:DCT:0:0:A:710147N0274936E:...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20180501193000:ENBDE:20180501194559:ES:710147N...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20180501191600:ENMH:DCT:0:0:A:710147N0274936E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33891</th>\n",
       "      <td>LOWS</td>\n",
       "      <td>LKLT</td>\n",
       "      <td>OKITC</td>\n",
       "      <td>C182</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>20180501141800:LOWS:DCT:14:0:A:474740N0130012E...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>20180501144325:LOVVSTA5:20180501144430:ES:4813...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.0</td>\n",
       "      <td>20180501142600:LOWS:DCT:14:0:A:474740N0130012E...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33892</th>\n",
       "      <td>LTBA</td>\n",
       "      <td>HESH</td>\n",
       "      <td>THY64J</td>\n",
       "      <td>A321</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>TCJRG</td>\n",
       "      <td>65.0</td>\n",
       "      <td>20180501222500:LTBA:EDASA1Z:2:0:A:405834N02848...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20180501222500:LTBASAN:20180501222732:ES:40583...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.0</td>\n",
       "      <td>20180501221200:LTBA:DCT:2:0:A:405834N0284851E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33893</th>\n",
       "      <td>EBOS</td>\n",
       "      <td>KJFK</td>\n",
       "      <td>CKS208</td>\n",
       "      <td>B744</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>N700CK</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20180501191000:EBOS:SASKI4M:0:0:A:511156N00251...</td>\n",
       "      <td>51.0</td>\n",
       "      <td>20180501191040:EBOSTA:20180501191335:ES:511151...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.0</td>\n",
       "      <td>20180501193400:EBOS:SASKI4M:0:0:A:511156N00251...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33894</th>\n",
       "      <td>VAAH</td>\n",
       "      <td>EGLL</td>\n",
       "      <td>AIC171</td>\n",
       "      <td>B788</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>VTANE</td>\n",
       "      <td>98.0</td>\n",
       "      <td>20180501233500:VAAH:DCT:0:0:A:230300N0724000E:...</td>\n",
       "      <td>52.0</td>\n",
       "      <td>20180502014500:OIIXALL:20180502034500:ES:33131...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.0</td>\n",
       "      <td>20180501233500:VAAH:DCT:0:0:A:230300N0724000E:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33895</th>\n",
       "      <td>LEBL</td>\n",
       "      <td>LEPA</td>\n",
       "      <td>VLG39XY</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>ECMOG</td>\n",
       "      <td>30.0</td>\n",
       "      <td>20180501191900:LEBL:LARPA3Q:0:0:A:411749N00204...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20180501191900:LEBLIAF:20180501192323:ES:41174...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.0</td>\n",
       "      <td>20180501191800:LEBL:LARPA3Q:0:0:A:411749N00204...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33896</th>\n",
       "      <td>LTBA</td>\n",
       "      <td>LTAF</td>\n",
       "      <td>THY6RX</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>TCJHL</td>\n",
       "      <td>56.0</td>\n",
       "      <td>20180501060000:LTBA:PIMAV1Z:2:0:A:405834N02848...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>20180501060000:LTBASAN:20180501060233:ES:40583...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.0</td>\n",
       "      <td>20180501060500:LTBA:PIMAV1Z:2:0:A:405834N02848...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33897</th>\n",
       "      <td>LTAF</td>\n",
       "      <td>LTBJ</td>\n",
       "      <td>SXS22V</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>TCSOF</td>\n",
       "      <td>48.0</td>\n",
       "      <td>20180501060000:LTAF:MANAZ1B:1:0:A:365856N03516...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20180501060000:LTAGTA:20180501061106:ES:365856...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.0</td>\n",
       "      <td>20180501061400:LTAF:MANAZ1B:1:0:A:365856N03516...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33898</th>\n",
       "      <td>EDDF</td>\n",
       "      <td>SAEZ</td>\n",
       "      <td>DLH510</td>\n",
       "      <td>B748</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>DABYQ</td>\n",
       "      <td>100.0</td>\n",
       "      <td>20180501201400:EDDF:SOBRA1L:4:0:A:500200N00834...</td>\n",
       "      <td>42.0</td>\n",
       "      <td>20180501201400:EDGGADF:20180501202004:ES:50020...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>149.0</td>\n",
       "      <td>20180501202200:EDDF:SOBRA1L:4:0:A:500200N00834...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33899</th>\n",
       "      <td>LEBL</td>\n",
       "      <td>LROP</td>\n",
       "      <td>VLG7400</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>ECLLM</td>\n",
       "      <td>75.0</td>\n",
       "      <td>20180501160100:LEBL:AGENA3Q:0:0:A:411749N00204...</td>\n",
       "      <td>41.0</td>\n",
       "      <td>20180501160100:LEBLIAF:20180501160454:ES:41174...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.0</td>\n",
       "      <td>20180501161500:LEBL:AGENA3Q:0:0:A:411749N00204...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33900</th>\n",
       "      <td>LEMG</td>\n",
       "      <td>LEPA</td>\n",
       "      <td>RYR71XV</td>\n",
       "      <td>B738</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>EIDCJ</td>\n",
       "      <td>53.0</td>\n",
       "      <td>20180501165500:LEMG:ROLAS1P:1:0:A:364030N00429...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20180501165500:LEMGE:20180501170010:ES:364030N...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>20180501165300:LEMG:ROLAS1U:1:0:A:364030N00429...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33901</th>\n",
       "      <td>EDDT</td>\n",
       "      <td>EHAM</td>\n",
       "      <td>KLM1834</td>\n",
       "      <td>E190</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>2.018050e+13</td>\n",
       "      <td>PHEZA</td>\n",
       "      <td>54.0</td>\n",
       "      <td>20180501182100:EDDT:BRANE2N:1:0:A:523335N01317...</td>\n",
       "      <td>21.0</td>\n",
       "      <td>20180501182100:EDWWDBAT:20180501182308:ES:5233...</td>\n",
       "      <td>54.0</td>\n",
       "      <td>20180501182100:EDDT:BRANE2N:1:0:A:523335N01317...</td>\n",
       "      <td>120.0</td>\n",
       "      <td>20180501182000:EDDT:BRANE2N:1:0:A:523335N01317...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33902</th>\n",
       "      <td>EGGW</td>\n",
       "      <td>LRCV</td>\n",
       "      <td>WZZ1957</td>\n",
       "      <td>A320</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>2.018043e+13</td>\n",
       "      <td>HALYA</td>\n",
       "      <td>65.0</td>\n",
       "      <td>20180430191000:EGGW:MATCH2Y:5:0:A:515229N00022...</td>\n",
       "      <td>42.0</td>\n",
       "      <td>20180430191000:EGTTMIDFI:20180430191121:ES:515...</td>\n",
       "      <td>65.0</td>\n",
       "      <td>20180430191000:EGGW:MATCH2Y:5:0:A:515229N00022...</td>\n",
       "      <td>117.0</td>\n",
       "      <td>20180430191100:EGGW:MATCH2Y:5:0:A:515229N00022...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>33903 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        org   dst     icao ac_type       start_t         end_t callsign  \\\n",
       "0         4   NaN      NaN     NaN           NaN           NaN      NaN   \n",
       "1      LTAI  LTBJ    TCARD    CL60  2.018050e+13  2.018050e+13    TCARD   \n",
       "2      EBBR  EKCH   BEL4CP    SU95  2.018050e+13  2.018050e+13    EIFWF   \n",
       "3      LTBA  OPLA  THY714E    A333  2.018043e+13  2.018043e+13    TCLOG   \n",
       "4      OPKC  LTBA  THY6550    A332  2.018043e+13  2.018043e+13    TCJDP   \n",
       "5      LEVC  LEPA  VLG395X    A320  2.018043e+13  2.018043e+13    ECMXG   \n",
       "6      UKKK  EDDH  WZZ7317    A320  2.018050e+13  2.018050e+13    HALYX   \n",
       "7      EDDF  DTTA   TAR745    A320  2.018050e+13  2.018050e+13    TSIMF   \n",
       "8      LEBB  EHAM  KLM1686    E190  2.018050e+13  2.018050e+13    PHEXY   \n",
       "9      EDDF  VTBS   DLH772    A343  2.018043e+13  2.018043e+13    DAIGT   \n",
       "10     LIPX  LICJ  RYR97VR    B738  2.018050e+13  2.018050e+13    EIDLD   \n",
       "11     EDDT  EDDF  EZY376P    A320  2.018050e+13  2.018050e+13    ESSAP   \n",
       "12     EGSS  LFMN  RYR64NW    B738  2.018050e+13  2.018050e+13    EIDPO   \n",
       "13     EGPD  EGPB   LOG858    SB20  2.018050e+13  2.018050e+13    GLGNP   \n",
       "14     EGKK  LIRN  EZY96JG    A319  2.018050e+13  2.018050e+13    GEZBW   \n",
       "15     LTAI  USSS  SDM5886    B738  2.018050e+13  2.018050e+13    VPBGR   \n",
       "16     EGLL  ENGM   BAW6VK    A320  2.018050e+13  2.018050e+13    GEUYR   \n",
       "17     ULLI  UBBB  AHY9020    E190  2.018050e+13  2.018050e+13   4KAZ67   \n",
       "18     LTBA  UTAK  TUA3274    B738  2.018050e+13  2.018050e+13   EZA020   \n",
       "19     LIRF  LIBR  RYR7103    B738  2.018050e+13  2.018050e+13    EIFOM   \n",
       "20     DABB  LFML  DAH1150    B738  2.018050e+13  2.018050e+13      NaN   \n",
       "21     UMMS  UKLL   BRU827    B735  2.018050e+13  2.018050e+13      NaN   \n",
       "22     ESGG  LFPG  AFR1353    E170  2.018050e+13  2.018050e+13      NaN   \n",
       "23     LCLK  UUEE  AFL2071    B738  2.018050e+13  2.018050e+13    VPBGI   \n",
       "24     EFHK  VHHH    FIN99    A359  2.018050e+13  2.018050e+13    OHLWD   \n",
       "25     EVRA  LKPR   BTI479    DH8D  2.018050e+13  2.018050e+13    YLBAX   \n",
       "26     LOWW  EVRA   BTI434    BCS3  2.018050e+13  2.018050e+13    YLCSF   \n",
       "27     LTAI  LTBA   THY3SY    B77W  2.018050e+13  2.018050e+13    TCJJY   \n",
       "28     EGGW  EHAM  VLG8405    A320  2.018050e+13  2.018050e+13    ECMES   \n",
       "29     OLBA  OKBK   JZR267    A320  2.018050e+13  2.018050e+13    9KCAO   \n",
       "...     ...   ...      ...     ...           ...           ...      ...   \n",
       "33873  LBSF  LTBA   THY85M    B738  2.018050e+13  2.018050e+13    TCJVA   \n",
       "33874  EDDW  LEPA   EWG5MX    A320  2.018043e+13  2.018043e+13    OEIEU   \n",
       "33875  EGPE  EGKK  EZY82UA    A320  2.018050e+13  2.018050e+13    OEIJB   \n",
       "33876  EGKK  LEBL  EZY8581    A320  2.018043e+13  2.018043e+13    OEIVO   \n",
       "33877  LLBG  KMIA   ELY017    B772  2.018050e+13  2.018050e+13    4XECC   \n",
       "33878  LEMG  LRCL   WZZ4LM    A320  2.018043e+13  2.018043e+13    HALWY   \n",
       "33879  ELLX  EKCH  LGL5435    DH8D  2.018050e+13  2.018050e+13    LXLQB   \n",
       "33880  EKCH  EPWA   LOT462    E195  2.018050e+13  2.018050e+13    SPLNE   \n",
       "33881  EDDM  LROP   DLH2EV    A320  2.018050e+13  2.018050e+13    DAIZJ   \n",
       "33882  EHGG  EHGG   MPH163    TB20  2.018050e+13  2.018050e+13    PHMLL   \n",
       "33883  LTBA  VIDP   THY716    B77W  2.018050e+13  2.018050e+13    TCLKC   \n",
       "33884  LBWN  LOWW  AUA764R    A319  2.018050e+13  2.018050e+13    OELDF   \n",
       "33885  EKBI  EGSS  RYR5173    B738  2.018050e+13  2.018050e+13    EIEME   \n",
       "33886  KBOS  EDDF   N673HA    GLF6  2.018050e+13  2.018050e+13   N673HA   \n",
       "33887  ULLI  EFHK   FIN706    E190  2.018050e+13  2.018050e+13    OHLKP   \n",
       "33888  LSGG  LPPT  EZY37BR    A319  2.018043e+13  2.018043e+13    GEZBX   \n",
       "33889  EGLL  WMKK     MAS1    A359  2.018050e+13  2.018050e+13    9MMAE   \n",
       "33890  ENMH  ENKR   LTR612    BE20  2.018050e+13  2.018050e+13    LNLTI   \n",
       "33891  LOWS  LKLT    OKITC    C182  2.018050e+13  2.018050e+13      NaN   \n",
       "33892  LTBA  HESH   THY64J    A321  2.018050e+13  2.018050e+13    TCJRG   \n",
       "33893  EBOS  KJFK   CKS208    B744  2.018050e+13  2.018050e+13   N700CK   \n",
       "33894  VAAH  EGLL   AIC171    B788  2.018050e+13  2.018050e+13    VTANE   \n",
       "33895  LEBL  LEPA  VLG39XY    A320  2.018050e+13  2.018050e+13    ECMOG   \n",
       "33896  LTBA  LTAF   THY6RX    B738  2.018050e+13  2.018050e+13    TCJHL   \n",
       "33897  LTAF  LTBJ   SXS22V    B738  2.018050e+13  2.018050e+13    TCSOF   \n",
       "33898  EDDF  SAEZ   DLH510    B748  2.018050e+13  2.018050e+13    DABYQ   \n",
       "33899  LEBL  LROP  VLG7400    A320  2.018050e+13  2.018050e+13    ECLLM   \n",
       "33900  LEMG  LEPA  RYR71XV    B738  2.018050e+13  2.018050e+13    EIDCJ   \n",
       "33901  EDDT  EHAM  KLM1834    E190  2.018050e+13  2.018050e+13    PHEZA   \n",
       "33902  EGGW  LRCV  WZZ1957    A320  2.018043e+13  2.018043e+13    HALYA   \n",
       "\n",
       "       flight_length                                          fl_points  \\\n",
       "0                NaN                                                NaN   \n",
       "1               39.0  20180501112200:LTAI:EVBOL1B:2:0:A:365401N03047...   \n",
       "2               52.0  20180501174400:EBBR:NIK3C:2:0:A:505405N0042904...   \n",
       "3               69.0  20180430174500:LTBA:MOPIN1B:2:0:A:405834N02848...   \n",
       "4               92.0  20180430190500:OPKC:DCT:0:0:A:245405N0670900E:...   \n",
       "5               34.0  20180430211000:LEVC:ORVUS1A:2:0:A:392922N00028...   \n",
       "6               69.0  20180501100000:UKKK:KR1K:6:0:A:502407N0302707E...   \n",
       "7               74.0  20180501124400:EDDF:ANEKI9L:4:0:A:500200N00834...   \n",
       "8               62.0  20180501100400:LEBB:BISKA3A:1:0:A:431804N00254...   \n",
       "9               97.0  20180430202100:EDDF:SULUS8L:4:0:A:500200N00834...   \n",
       "10              47.0  20180501184000:LIPX:BOA5H:2:0:A:452347N0105316...   \n",
       "11              43.0  20180501045100:EDDT:BRANE2L:1:0:A:523335N01317...   \n",
       "12              73.0  20180501173500:EGSS:NUGBO1R:3:0:A:515306N00014...   \n",
       "13              30.0  20180501054000:EGPD:DCT:2:0:A:571209N0021153W:...   \n",
       "14              73.0  20180501182000:EGKK:BOGNA1X:2:0:A:510853N00011...   \n",
       "15              80.0  20180501175200:LTAI:HISAR1F:2:0:A:365401N03047...   \n",
       "16              81.0  20180501184500:EGLL:BPK7G:1:0:A:512839N0002741...   \n",
       "17              67.0  20180501202000:ULLI:DCT:1:0:A:594801N0301545E:...   \n",
       "18              60.0  20180501092000:LTBA:MOPIN1A:2:0:A:405834N02848...   \n",
       "19              43.0  20180501063000:LIRF:SIPRO8A:0:0:A:414801N01214...   \n",
       "20              42.0  20180501073600:DABB:DCT:0:0:A:364920N0074834E:...   \n",
       "21              37.0  20180501102000:UMMS:DCT:7:0:A:535257N0280151E:...   \n",
       "22              63.0  20180501102500:ESGG:VADIN2J:5:0:A:573936N01217...   \n",
       "23              72.0  20180501231000:LCLK:RUDER2B:0:0:A:345244N03337...   \n",
       "24              67.0  20180501210100:EFHK:ARVEP1N:2:0:A:601902N02457...   \n",
       "25              40.0  20180501042500:EVRA:ASKOR4E:0:0:A:565525N02358...   \n",
       "26              58.0  20180501165800:LOWW:LEDVA2B:6:0:A:480637N01634...   \n",
       "27              50.0  20180501174700:LTAI:EKSEN1B:2:0:A:365401N03047...   \n",
       "28              40.0  20180501084500:EGGW:MATCH2Y:5:0:A:515229N00022...   \n",
       "29              52.0  20180501200000:OLBA:DCT:0:0:A:334909N0352924E:...   \n",
       "...              ...                                                ...   \n",
       "33873           54.0  20180501071100:LBSF:GOL2S:17:0:A:424142N023243...   \n",
       "33874           78.0  20180430204800:EDDW:BASUM4A:0:0:A:530251N00847...   \n",
       "33875           57.0  20180501141000:EGPE:DCT:0:0:A:573233N0040251W:...   \n",
       "33876           60.0  20180430193500:EGKK:BOGNA1X:2:0:A:510853N00011...   \n",
       "33877           93.0  20180501214500:LLBG:PURLA2E:1:0:A:320034N03453...   \n",
       "33878           75.0  20180430200500:LEMG:ROLAS1P:1:0:A:364030N00429...   \n",
       "33879           52.0  20180501160500:ELLX:DIK3X:12:0:A:493724N006121...   \n",
       "33880           59.0  20180501180000:EKCH:SIMEG8C:0:0:A:553705N01239...   \n",
       "33881           54.0  20180501201600:EDDM:KIRDI2E:15:0:A:482114N0114...   \n",
       "33882            9.0  20180501174000:EHGG:DCT:0:0:A:530730N0063500E:...   \n",
       "33883           63.0  20180501174000:LTBA:MOPIN1B:2:0:A:405834N02848...   \n",
       "33884           42.0  20180501112000:LBWN:BALIK2N:2:0:A:431355N02749...   \n",
       "33885           57.0  20180501083500:EKBI:BAMPI3A:2:0:A:554425N00909...   \n",
       "33886           73.0  20180501112000:KBOS:DCT:0:0:A:422151N0710020W:...   \n",
       "33887           40.0  20180501164500:ULLI:DCT:1:0:A:594801N0301545E:...   \n",
       "33888           61.0  20180430195300:LSGG:DEPUL3A:14:0:A:461418N0060...   \n",
       "33889          112.0  20180501210000:EGLL:DET2F:1:0:A:512839N0002741...   \n",
       "33890           16.0  20180501193000:ENMH:DCT:0:0:A:710147N0274936E:...   \n",
       "33891           21.0  20180501141800:LOWS:DCT:14:0:A:474740N0130012E...   \n",
       "33892           65.0  20180501222500:LTBA:EDASA1Z:2:0:A:405834N02848...   \n",
       "33893           50.0  20180501191000:EBOS:SASKI4M:0:0:A:511156N00251...   \n",
       "33894           98.0  20180501233500:VAAH:DCT:0:0:A:230300N0724000E:...   \n",
       "33895           30.0  20180501191900:LEBL:LARPA3Q:0:0:A:411749N00204...   \n",
       "33896           56.0  20180501060000:LTBA:PIMAV1Z:2:0:A:405834N02848...   \n",
       "33897           48.0  20180501060000:LTAF:MANAZ1B:1:0:A:365856N03516...   \n",
       "33898          100.0  20180501201400:EDDF:SOBRA1L:4:0:A:500200N00834...   \n",
       "33899           75.0  20180501160100:LEBL:AGENA3Q:0:0:A:411749N00204...   \n",
       "33900           53.0  20180501165500:LEMG:ROLAS1P:1:0:A:364030N00429...   \n",
       "33901           54.0  20180501182100:EDDT:BRANE2N:1:0:A:523335N01317...   \n",
       "33902           65.0  20180430191000:EGGW:MATCH2Y:5:0:A:515229N00022...   \n",
       "\n",
       "       flight_length_as                                       fl_points_as  \\\n",
       "0                   NaN                                                NaN   \n",
       "1                   9.0  20180501112214:LTAIYNL:20180501112526:ES:36543...   \n",
       "2                  23.0  20180501174432:EBBRTA:20180501174633:ES:505526...   \n",
       "3                  16.0  20180430174500:LTBASAN:20180430174815:ES:40583...   \n",
       "4                  10.0  20180430195500:OIIXALL:20180430223600:ES:27355...   \n",
       "5                   8.0  20180430211000:LECLVVLC:20180430212157:ES:3929...   \n",
       "6                  28.0  20180501100000:UKBVTC5:20180501100156:ES:50240...   \n",
       "7                  31.0  20180501124400:EDGGADF:20180501124854:ES:50020...   \n",
       "8                  21.0  20180501100400:LEBBTA:20180501101045:ES:431804...   \n",
       "9                  26.0  20180430202100:EDGGADF:20180430202817:ES:50020...   \n",
       "10                 16.0  20180501184000:LIPXCR:20180501184743:ES:452347...   \n",
       "11                 16.0  20180501045100:EDWWDBAT:20180501045342:ES:5233...   \n",
       "12                 39.0  20180501173500:EGSSALL:20180501173742:ES:51530...   \n",
       "13                  9.0  20180501054000:EGPDCR:20180501054457:ES:571209...   \n",
       "14                 37.0  20180501182000:EGTTWILFI:20180501182118:ES:510...   \n",
       "15                 12.0  20180501175255:LTAIYEL:20180501175552:ES:36511...   \n",
       "16                 53.0  20180501184500:EGTTMIDFI:20180501184632:ES:512...   \n",
       "17                  6.0  20180501202000:ULLLALL:20180501204900:ES:59480...   \n",
       "18                 16.0  20180501092020:LTBASAS:20180501092245:ES:40573...   \n",
       "19                  9.0  20180501063232:LIRRPS1:20180501063536:ES:41401...   \n",
       "20                 13.0  20180501073600:DAAATNEX:20180501080005:ES:3649...   \n",
       "21                  9.0  20180501102007:UMMVS2:20180501104757:ES:535258...   \n",
       "22                 29.0  20180501102511:ESGGTW:20180501103220:ES:573911...   \n",
       "23                 16.0  20180501231000:LCLKCR:20180501231653:ES:345244...   \n",
       "24                  3.0  20180501210100:EFHKTA:20180501211248:ES:601902...   \n",
       "25                  8.0  20180501042500:EVRRAPP:20180501044000:ES:56552...   \n",
       "26                 15.0  20180501165952:LOWWVMA:20180501170700:ES:48051...   \n",
       "27                  9.0  20180501174708:LTAIYNL:20180501175021:ES:36543...   \n",
       "28                 23.0  20180501084500:EGTTMIDFI:20180501084616:ES:515...   \n",
       "29                  8.0  20180501200000:OLBBALL:20180501200939:ES:33490...   \n",
       "...                 ...                                                ...   \n",
       "33873              11.0  20180501071100:LBSFTA:20180501071924:ES:424142...   \n",
       "33874              40.0  20180430204800:EDWWFRI:20180430205154:ES:53025...   \n",
       "33875              30.0  20180501141000:EGPECR:20180501141107:ES:573233...   \n",
       "33876              29.0  20180430193500:EGTTWILFI:20180430193630:ES:510...   \n",
       "33877              55.0  20180501214500:LLBGTA:20180501214843:ES:320034...   \n",
       "33878              31.0  20180430200500:LEMGE:20180430201019:ES:364030N...   \n",
       "33879              23.0  20180501160500:LSASFPLS:20180501161611:ES:4937...   \n",
       "33880              23.0  20180501180000:EKCHCR:20180501180149:ES:553705...   \n",
       "33881              17.0  20180501201600:EDMMXTES:20180501201836:ES:4821...   \n",
       "33882               3.0  20180501174000:EHGGCR:20180501182000:ES:530730...   \n",
       "33883              16.0  20180501174000:LTBASAN:20180501174254:ES:40583...   \n",
       "33884              16.0  20180501112000:LBWNTA:20180501112743:ES:431355...   \n",
       "33885              34.0  20180501083500:EKBITA:20180501083926:ES:554425...   \n",
       "33886              56.0  20180501112000:KKKKCTA:20180501114416:ES:42215...   \n",
       "33887               3.0  20180501164500:ULLLALL:20180501170440:ES:59480...   \n",
       "33888              30.0  20180430195300:LSGGMID:20180430195446:ES:46141...   \n",
       "33889              54.0  20180501210000:EGTTMIDFI:20180501210013:ES:512...   \n",
       "33890               3.0  20180501193000:ENBDE:20180501194559:ES:710147N...   \n",
       "33891               7.0  20180501144325:LOVVSTA5:20180501144430:ES:4813...   \n",
       "33892               9.0  20180501222500:LTBASAN:20180501222732:ES:40583...   \n",
       "33893              51.0  20180501191040:EBOSTA:20180501191335:ES:511151...   \n",
       "33894              52.0  20180502014500:OIIXALL:20180502034500:ES:33131...   \n",
       "33895              11.0  20180501191900:LEBLIAF:20180501192323:ES:41174...   \n",
       "33896               7.0  20180501060000:LTBASAN:20180501060233:ES:40583...   \n",
       "33897               8.0  20180501060000:LTAGTA:20180501061106:ES:365856...   \n",
       "33898              42.0  20180501201400:EDGGADF:20180501202004:ES:50020...   \n",
       "33899              41.0  20180501160100:LEBLIAF:20180501160454:ES:41174...   \n",
       "33900              11.0  20180501165500:LEMGE:20180501170010:ES:364030N...   \n",
       "33901              21.0  20180501182100:EDWWDBAT:20180501182308:ES:5233...   \n",
       "33902              42.0  20180430191000:EGTTMIDFI:20180430191121:ES:515...   \n",
       "\n",
       "       flight_length_1                                        fl_points_1  \\\n",
       "0                  NaN                                                NaN   \n",
       "1                  NaN                                                NaN   \n",
       "2                  NaN                                                NaN   \n",
       "3                  NaN                                                NaN   \n",
       "4                  NaN                                                NaN   \n",
       "5                  NaN                                                NaN   \n",
       "6                 69.0  20180501100000:UKKK:KR1K:6:0:A:502407N0302707E...   \n",
       "7                  NaN                                                NaN   \n",
       "8                 62.0  20180501100400:LEBB:BISKA3A:1:0:A:431804N00254...   \n",
       "9                 97.0  20180430202600:EDDF:SULUS8L:4:0:A:500200N00834...   \n",
       "10                 NaN                                                NaN   \n",
       "11                 NaN                                                NaN   \n",
       "12                 NaN                                                NaN   \n",
       "13                 NaN                                                NaN   \n",
       "14                 NaN                                                NaN   \n",
       "15                 NaN                                                NaN   \n",
       "16                 NaN                                                NaN   \n",
       "17                 NaN                                                NaN   \n",
       "18                 NaN                                                NaN   \n",
       "19                 NaN                                                NaN   \n",
       "20                 NaN                                                NaN   \n",
       "21                 NaN                                                NaN   \n",
       "22                 NaN                                                NaN   \n",
       "23                 NaN                                                NaN   \n",
       "24                 NaN                                                NaN   \n",
       "25                 NaN                                                NaN   \n",
       "26                 NaN                                                NaN   \n",
       "27                 NaN                                                NaN   \n",
       "28                40.0  20180501094218:EGGW:MATCH2Y:5:0:A:515229N00022...   \n",
       "29                 NaN                                                NaN   \n",
       "...                ...                                                ...   \n",
       "33873              NaN                                                NaN   \n",
       "33874              NaN                                                NaN   \n",
       "33875              NaN                                                NaN   \n",
       "33876             60.0  20180430193500:EGKK:BOGNA1X:2:0:A:510853N00011...   \n",
       "33877              NaN                                                NaN   \n",
       "33878             75.0  20180430201500:LEMG:ROLAS1P:1:0:A:364030N00429...   \n",
       "33879              NaN                                                NaN   \n",
       "33880              NaN                                                NaN   \n",
       "33881              NaN                                                NaN   \n",
       "33882              NaN                                                NaN   \n",
       "33883              NaN                                                NaN   \n",
       "33884              NaN                                                NaN   \n",
       "33885              NaN                                                NaN   \n",
       "33886              NaN                                                NaN   \n",
       "33887              NaN                                                NaN   \n",
       "33888             61.0  20180430195300:LSGG:DEPUL3A:14:0:A:461418N0060...   \n",
       "33889              NaN                                                NaN   \n",
       "33890              NaN                                                NaN   \n",
       "33891              NaN                                                NaN   \n",
       "33892              NaN                                                NaN   \n",
       "33893              NaN                                                NaN   \n",
       "33894              NaN                                                NaN   \n",
       "33895              NaN                                                NaN   \n",
       "33896              NaN                                                NaN   \n",
       "33897              NaN                                                NaN   \n",
       "33898              NaN                                                NaN   \n",
       "33899              NaN                                                NaN   \n",
       "33900              NaN                                                NaN   \n",
       "33901             54.0  20180501182100:EDDT:BRANE2N:1:0:A:523335N01317...   \n",
       "33902             65.0  20180430191000:EGGW:MATCH2Y:5:0:A:515229N00022...   \n",
       "\n",
       "       flight_length_2                                        fl_points_2  \\\n",
       "0                  NaN                                                NaN   \n",
       "1                 39.0  20180501105700:LTAI:EVBOL1B:2:0:A:365401N03047...   \n",
       "2                108.0  20180501173700:EBBR:NIK3C:2:0:A:505405N0042904...   \n",
       "3                 69.0  20180430174300:LTBA:MOPIN1B:2:0:A:405834N02848...   \n",
       "4                 92.0  20180430184800:OPKC:DCT:0:0:A:245405N0670900E:...   \n",
       "5                 86.0  20180430210800:LEVC:ORVUS1G:2:0:A:392922N00028...   \n",
       "6                147.0  20180501100600:UKKK:KR1K:6:0:A:502407N0302707E...   \n",
       "7                125.0  20180501130900:EDDF:ANEKI9L:4:0:A:500200N00834...   \n",
       "8                121.0  20180501095900:LEBB:BISKA3A:1:0:A:431804N00254...   \n",
       "9                133.0  20180430202200:EDDF:SULUS8L:4:0:A:500200N00834...   \n",
       "10               101.0  20180501183900:LIPX:DCT:2:0:A:452347N0105316E:...   \n",
       "11                67.0  20180501044100:EDDT:BRANE2L:1:0:A:523335N01317...   \n",
       "12               123.0  20180501173600:EGSS:NUGBO1R:3:0:A:515306N00014...   \n",
       "13                68.0  20180501054400:EGPD:DCT:2:0:A:571209N0021153W:...   \n",
       "14               156.0  20180501182600:EGKK:BOGNA1X:2:0:A:510853N00011...   \n",
       "15                80.0  20180501181200:LTAI:HISAR1F:2:0:A:365401N03047...   \n",
       "16               115.0  20180501184200:EGLL:BPK7F:1:0:A:512839N0002741...   \n",
       "17                67.0  20180501203827:ULLI:DCT:1:0:A:594801N0301545E:...   \n",
       "18                60.0  20180501093700:LTBA:MOPIN1A:2:0:A:405834N02848...   \n",
       "19                76.0  20180501062500:LIRF:SIPRO8A:0:0:A:414801N01214...   \n",
       "20                61.0  20180501074900:DABB:DCT:0:0:A:364920N0074834E:...   \n",
       "21                53.0  20180501101300:UMMS:DCT:7:0:A:535257N0280151E:...   \n",
       "22               106.0  20180501103400:ESGG:VADIN2J:5:0:A:573936N01217...   \n",
       "23                91.0  20180501230100:LCLK:RUDER1C:0:0:A:345244N03337...   \n",
       "24                80.0  20180501210600:EFHK:ARVEP1N:2:0:A:601902N02457...   \n",
       "25                89.0  20180501041800:EVRA:ASKOR4E:0:0:A:565525N02358...   \n",
       "26               116.0  20180501165500:LOWW:WGM1A:6:0:A:480637N0163411...   \n",
       "27                50.0  20180501174200:LTAI:EKSEN1B:2:0:A:365401N03047...   \n",
       "28                77.0  20180501093700:EGGW:MATCH2Y:5:0:A:515229N00022...   \n",
       "29                82.0  20180501201100:OLBA:DCT:0:0:A:334909N0352924E:...   \n",
       "...                ...                                                ...   \n",
       "33873             65.0  20180501070300:LBSF:GODEK5A:17:0:A:424142N0232...   \n",
       "33874            145.0  20180430204600:EDDW:BASUM4A:0:0:A:530251N00847...   \n",
       "33875            117.0  20180501140900:EGPE:DCT:0:0:A:573233N0040251W:...   \n",
       "33876            137.0  20180430193800:EGKK:BOGNA1X:2:0:A:510853N00011...   \n",
       "33877            130.0  20180501215900:LLBG:DCT:1:0:A:320034N0345308E:...   \n",
       "33878            162.0  20180430201800:LEMG:ROLAS1P:1:0:A:364030N00429...   \n",
       "33879            101.0  20180501160100:ELLX:DCT:12:0:A:493724N0061216E...   \n",
       "33880            133.0  20180501182300:EKCH:SIMEG8C:0:0:A:553705N01239...   \n",
       "33881            118.0  20180501202311:EDDM:KIRDI2E:15:0:A:482114N0114...   \n",
       "33882              9.0  20180501174000:EHGG:DCT:0:0:A:530730N0063500E:...   \n",
       "33883             65.0  20180501174400:LTBA:MOPIN1B:2:0:A:405834N02848...   \n",
       "33884            115.0  20180501112700:LBWN:TOTKA2N:2:0:A:431355N02749...   \n",
       "33885            125.0  20180501084300:EKBI:DCT:2:0:A:554425N0090906E:...   \n",
       "33886            119.0  20180501111814:KBOS:DCT:0:0:A:422151N0710020W:...   \n",
       "33887             74.0  20180501164550:ULLI:DCT:1:0:A:594801N0301545E:...   \n",
       "33888            142.0  20180430195800:LSGG:DEPUL3A:14:0:A:461418N0060...   \n",
       "33889            157.0  20180501210300:EGLL:DCT:1:0:A:512839N0002741W:...   \n",
       "33890             22.0  20180501191600:ENMH:DCT:0:0:A:710147N0274936E:...   \n",
       "33891             45.0  20180501142600:LOWS:DCT:14:0:A:474740N0130012E...   \n",
       "33892             54.0  20180501221200:LTBA:DCT:2:0:A:405834N0284851E:...   \n",
       "33893            108.0  20180501193400:EBOS:SASKI4M:0:0:A:511156N00251...   \n",
       "33894             98.0  20180501233500:VAAH:DCT:0:0:A:230300N0724000E:...   \n",
       "33895             59.0  20180501191800:LEBL:LARPA3Q:0:0:A:411749N00204...   \n",
       "33896             56.0  20180501060500:LTBA:PIMAV1Z:2:0:A:405834N02848...   \n",
       "33897             48.0  20180501061400:LTAF:MANAZ1B:1:0:A:365856N03516...   \n",
       "33898            149.0  20180501202200:EDDF:SOBRA1L:4:0:A:500200N00834...   \n",
       "33899            122.0  20180501161500:LEBL:AGENA3Q:0:0:A:411749N00204...   \n",
       "33900            126.0  20180501165300:LEMG:ROLAS1U:1:0:A:364030N00429...   \n",
       "33901            120.0  20180501182000:EDDT:BRANE2N:1:0:A:523335N01317...   \n",
       "33902            117.0  20180430191100:EGGW:MATCH2Y:5:0:A:515229N00022...   \n",
       "\n",
       "       flight_length_3  fl_points_3  \n",
       "0                  NaN          NaN  \n",
       "1                  NaN          NaN  \n",
       "2                  NaN          NaN  \n",
       "3                  NaN          NaN  \n",
       "4                  NaN          NaN  \n",
       "5                  NaN          NaN  \n",
       "6                  NaN          NaN  \n",
       "7                  NaN          NaN  \n",
       "8                  NaN          NaN  \n",
       "9                  NaN          NaN  \n",
       "10                 NaN          NaN  \n",
       "11                 NaN          NaN  \n",
       "12                 NaN          NaN  \n",
       "13                 NaN          NaN  \n",
       "14                 NaN          NaN  \n",
       "15                 NaN          NaN  \n",
       "16                 NaN          NaN  \n",
       "17                 NaN          NaN  \n",
       "18                 NaN          NaN  \n",
       "19                 NaN          NaN  \n",
       "20                 NaN          NaN  \n",
       "21                 NaN          NaN  \n",
       "22                 NaN          NaN  \n",
       "23                 NaN          NaN  \n",
       "24                 NaN          NaN  \n",
       "25                 NaN          NaN  \n",
       "26                 NaN          NaN  \n",
       "27                 NaN          NaN  \n",
       "28                 NaN          NaN  \n",
       "29                 NaN          NaN  \n",
       "...                ...          ...  \n",
       "33873              NaN          NaN  \n",
       "33874              NaN          NaN  \n",
       "33875              NaN          NaN  \n",
       "33876              NaN          NaN  \n",
       "33877              NaN          NaN  \n",
       "33878              NaN          NaN  \n",
       "33879              NaN          NaN  \n",
       "33880              NaN          NaN  \n",
       "33881              NaN          NaN  \n",
       "33882              NaN          NaN  \n",
       "33883              NaN          NaN  \n",
       "33884              NaN          NaN  \n",
       "33885              NaN          NaN  \n",
       "33886              NaN          NaN  \n",
       "33887              NaN          NaN  \n",
       "33888              NaN          NaN  \n",
       "33889              NaN          NaN  \n",
       "33890              NaN          NaN  \n",
       "33891              NaN          NaN  \n",
       "33892              NaN          NaN  \n",
       "33893              NaN          NaN  \n",
       "33894              NaN          NaN  \n",
       "33895              NaN          NaN  \n",
       "33896              NaN          NaN  \n",
       "33897              NaN          NaN  \n",
       "33898              NaN          NaN  \n",
       "33899              NaN          NaN  \n",
       "33900              NaN          NaN  \n",
       "33901              NaN          NaN  \n",
       "33902              NaN          NaN  \n",
       "\n",
       "[33903 rows x 17 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'20180501110000.0'"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(df['end_t'].iloc[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "dffl = pd.DataFrame([i.split(':') for i in df['fl_points'].iloc[3].split(' ')])\n",
    "# dffl.columns = ['start_ep_seg', 'seg_id', 'end_ep_seg', 'unknown', 'seg_crd_b', 'seg_crd_e', 'fl_start', 'fl_end'\n",
    "#                't_elapsed_b', 't_elapsed_e']\n",
    "dffl2 = pd.DataFrame([i.split(':') for i in df['fl_as_points'].iloc[3].split(' ')])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts</th>\n",
       "      <th>wp</th>\n",
       "      <th>loc_type</th>\n",
       "      <th>fl</th>\n",
       "      <th>time_el</th>\n",
       "      <th>msg_type</th>\n",
       "      <th>crd</th>\n",
       "      <th>unknown_var</th>\n",
       "      <th>unknown_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20180430174500</td>\n",
       "      <td>LTBA</td>\n",
       "      <td>MOPIN1B</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>405834N0284851E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20180430174510</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>V</td>\n",
       "      <td>405907N0284846E</td>\n",
       "      <td>9</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20180430174640</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>V</td>\n",
       "      <td>410227N0284818E</td>\n",
       "      <td>64</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20180430174716</td>\n",
       "      <td>*1IST</td>\n",
       "      <td>MOPIN1B</td>\n",
       "      <td>50</td>\n",
       "      <td>11</td>\n",
       "      <td>D</td>\n",
       "      <td>410440N0284759E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20180430174800</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>70</td>\n",
       "      <td>16</td>\n",
       "      <td>V</td>\n",
       "      <td>410511N0285132E</td>\n",
       "      <td>17</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20180430174846</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>90</td>\n",
       "      <td>22</td>\n",
       "      <td>V</td>\n",
       "      <td>410547N0285547E</td>\n",
       "      <td>38</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20180430174932</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>110</td>\n",
       "      <td>29</td>\n",
       "      <td>V</td>\n",
       "      <td>410630N0290046E</td>\n",
       "      <td>62</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20180430175022</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>130</td>\n",
       "      <td>37</td>\n",
       "      <td>V</td>\n",
       "      <td>410719N0290626E</td>\n",
       "      <td>90</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>20180430175037</td>\n",
       "      <td>BKZ</td>\n",
       "      <td>MOPIN1B</td>\n",
       "      <td>136</td>\n",
       "      <td>40</td>\n",
       "      <td>N</td>\n",
       "      <td>410737N0290834E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20180430175113</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>150</td>\n",
       "      <td>46</td>\n",
       "      <td>V</td>\n",
       "      <td>410937N0291155E</td>\n",
       "      <td>10</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20180430175210</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>170</td>\n",
       "      <td>56</td>\n",
       "      <td>V</td>\n",
       "      <td>411256N0291730E</td>\n",
       "      <td>26</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>20180430175309</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>190</td>\n",
       "      <td>67</td>\n",
       "      <td>V</td>\n",
       "      <td>411635N0292339E</td>\n",
       "      <td>44</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20180430175414</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>210</td>\n",
       "      <td>79</td>\n",
       "      <td>V</td>\n",
       "      <td>412034N0293021E</td>\n",
       "      <td>64</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>20180430175526</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>230</td>\n",
       "      <td>92</td>\n",
       "      <td>V</td>\n",
       "      <td>412454N0293736E</td>\n",
       "      <td>85</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20180430175611</td>\n",
       "      <td>MOPIN</td>\n",
       "      <td>UN644</td>\n",
       "      <td>241</td>\n",
       "      <td>101</td>\n",
       "      <td>W</td>\n",
       "      <td>412753N0294238E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>20180430175646</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>250</td>\n",
       "      <td>108</td>\n",
       "      <td>V</td>\n",
       "      <td>412850N0294732E</td>\n",
       "      <td>13</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20180430175815</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>270</td>\n",
       "      <td>126</td>\n",
       "      <td>V</td>\n",
       "      <td>413117N0300008E</td>\n",
       "      <td>45</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>20180430175934</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>285</td>\n",
       "      <td>142</td>\n",
       "      <td>V</td>\n",
       "      <td>413327N0301120E</td>\n",
       "      <td>73</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20180430180041</td>\n",
       "      <td>TEVNI</td>\n",
       "      <td>UN644</td>\n",
       "      <td>297</td>\n",
       "      <td>157</td>\n",
       "      <td>W</td>\n",
       "      <td>413529N0302150E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20180430180059</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>300</td>\n",
       "      <td>161</td>\n",
       "      <td>V</td>\n",
       "      <td>413600N0302436E</td>\n",
       "      <td>14</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20180430180148</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>310</td>\n",
       "      <td>171</td>\n",
       "      <td>V</td>\n",
       "      <td>413718N0303132E</td>\n",
       "      <td>50</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>20180430180229</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>310</td>\n",
       "      <td>180</td>\n",
       "      <td>V</td>\n",
       "      <td>413829N0303745E</td>\n",
       "      <td>82</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20180430180253</td>\n",
       "      <td>ULMIP</td>\n",
       "      <td>UN644</td>\n",
       "      <td>315</td>\n",
       "      <td>185</td>\n",
       "      <td>W</td>\n",
       "      <td>413908N0304113E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>20180430180500</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>340</td>\n",
       "      <td>212</td>\n",
       "      <td>V</td>\n",
       "      <td>414235N0310019E</td>\n",
       "      <td>25</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>20180430180653</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>360</td>\n",
       "      <td>238</td>\n",
       "      <td>V</td>\n",
       "      <td>414555N0311842E</td>\n",
       "      <td>50</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20180430180814</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>370</td>\n",
       "      <td>257</td>\n",
       "      <td>V</td>\n",
       "      <td>414820N0313208E</td>\n",
       "      <td>67</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20180430181046</td>\n",
       "      <td>ARPEM</td>\n",
       "      <td>UN644</td>\n",
       "      <td>370</td>\n",
       "      <td>292</td>\n",
       "      <td>W</td>\n",
       "      <td>415249N0315653E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>20180430182215</td>\n",
       "      <td>GAKSU</td>\n",
       "      <td>UN644</td>\n",
       "      <td>370</td>\n",
       "      <td>450</td>\n",
       "      <td>W</td>\n",
       "      <td>421121N0334851E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20180430182601</td>\n",
       "      <td>OTKOT</td>\n",
       "      <td>UN644</td>\n",
       "      <td>370</td>\n",
       "      <td>502</td>\n",
       "      <td>W</td>\n",
       "      <td>420641N0342558E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20180430182722</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>380</td>\n",
       "      <td>521</td>\n",
       "      <td>V</td>\n",
       "      <td>420445N0343950E</td>\n",
       "      <td>54</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>20180430192800</td>\n",
       "      <td>BARAD</td>\n",
       "      <td>M747</td>\n",
       "      <td>390</td>\n",
       "      <td>1390</td>\n",
       "      <td>W</td>\n",
       "      <td>412131N0450500E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>20180430193857</td>\n",
       "      <td>SUBUT</td>\n",
       "      <td>T923</td>\n",
       "      <td>390</td>\n",
       "      <td>1545</td>\n",
       "      <td>W</td>\n",
       "      <td>405357N0464919E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>20180430194303</td>\n",
       "      <td>EDELU</td>\n",
       "      <td>T923</td>\n",
       "      <td>390</td>\n",
       "      <td>1603</td>\n",
       "      <td>W</td>\n",
       "      <td>405052N0473038E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>20180430195322</td>\n",
       "      <td>ERLEV</td>\n",
       "      <td>M11</td>\n",
       "      <td>390</td>\n",
       "      <td>1749</td>\n",
       "      <td>W</td>\n",
       "      <td>404349N0491431E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>20180430195459</td>\n",
       "      <td>ABROD</td>\n",
       "      <td>M11</td>\n",
       "      <td>390</td>\n",
       "      <td>1772</td>\n",
       "      <td>W</td>\n",
       "      <td>404156N0493025E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>20180430200328</td>\n",
       "      <td>AMOKU</td>\n",
       "      <td>M11</td>\n",
       "      <td>390</td>\n",
       "      <td>1892</td>\n",
       "      <td>W</td>\n",
       "      <td>403112N0505516E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>20180430200700</td>\n",
       "      <td>RODAR</td>\n",
       "      <td>A909</td>\n",
       "      <td>390</td>\n",
       "      <td>1942</td>\n",
       "      <td>W</td>\n",
       "      <td>402800N0513000E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>20180430201325</td>\n",
       "      <td>TUNEK</td>\n",
       "      <td>A909</td>\n",
       "      <td>390</td>\n",
       "      <td>2037</td>\n",
       "      <td>W</td>\n",
       "      <td>401548N0523518E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>20180430202425</td>\n",
       "      <td>TUGTA</td>\n",
       "      <td>A909</td>\n",
       "      <td>390</td>\n",
       "      <td>2200</td>\n",
       "      <td>W</td>\n",
       "      <td>395324N0542700E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>20180430202619</td>\n",
       "      <td>BABUM</td>\n",
       "      <td>A909</td>\n",
       "      <td>390</td>\n",
       "      <td>2228</td>\n",
       "      <td>W</td>\n",
       "      <td>394924N0544548E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>20180430202954</td>\n",
       "      <td>BIBIM</td>\n",
       "      <td>A909</td>\n",
       "      <td>390</td>\n",
       "      <td>2281</td>\n",
       "      <td>W</td>\n",
       "      <td>394142N0552130E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>20180430203300</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>390</td>\n",
       "      <td>2327</td>\n",
       "      <td>V</td>\n",
       "      <td>393448N0555233E</td>\n",
       "      <td>96</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>20180430203308</td>\n",
       "      <td>ABEKO</td>\n",
       "      <td>A909</td>\n",
       "      <td>390</td>\n",
       "      <td>2329</td>\n",
       "      <td>W</td>\n",
       "      <td>393430N0555354E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>20180430203837</td>\n",
       "      <td>KEKAL</td>\n",
       "      <td>DCT</td>\n",
       "      <td>390</td>\n",
       "      <td>2410</td>\n",
       "      <td>W</td>\n",
       "      <td>392206N0564830E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>20180430212911</td>\n",
       "      <td>LEMOD</td>\n",
       "      <td>DCT</td>\n",
       "      <td>390</td>\n",
       "      <td>3157</td>\n",
       "      <td>W</td>\n",
       "      <td>361000N0641730E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>20180430222114</td>\n",
       "      <td>DI</td>\n",
       "      <td>DCT</td>\n",
       "      <td>390</td>\n",
       "      <td>3926</td>\n",
       "      <td>N</td>\n",
       "      <td>315448N0705306E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>20180430222703</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>390</td>\n",
       "      <td>4012</td>\n",
       "      <td>V</td>\n",
       "      <td>314924N0714723E</td>\n",
       "      <td>26</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>20180430222818</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>360</td>\n",
       "      <td>4030</td>\n",
       "      <td>V</td>\n",
       "      <td>314816N0715844E</td>\n",
       "      <td>31</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>20180430222941</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>320</td>\n",
       "      <td>4050</td>\n",
       "      <td>V</td>\n",
       "      <td>314700N0721122E</td>\n",
       "      <td>37</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>20180430223255</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>250</td>\n",
       "      <td>4096</td>\n",
       "      <td>V</td>\n",
       "      <td>314407N0724023E</td>\n",
       "      <td>51</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>20180430223354</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>230</td>\n",
       "      <td>4108</td>\n",
       "      <td>V</td>\n",
       "      <td>314322N0724758E</td>\n",
       "      <td>55</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>20180430223554</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>190</td>\n",
       "      <td>4134</td>\n",
       "      <td>V</td>\n",
       "      <td>314144N0730422E</td>\n",
       "      <td>63</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>20180430223758</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>150</td>\n",
       "      <td>4158</td>\n",
       "      <td>V</td>\n",
       "      <td>314013N0731931E</td>\n",
       "      <td>70</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>20180430223905</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>130</td>\n",
       "      <td>4171</td>\n",
       "      <td>V</td>\n",
       "      <td>313924N0732743E</td>\n",
       "      <td>74</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>20180430224118</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>90</td>\n",
       "      <td>4195</td>\n",
       "      <td>V</td>\n",
       "      <td>313754N0734252E</td>\n",
       "      <td>81</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>20180430224436</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>50</td>\n",
       "      <td>4223</td>\n",
       "      <td>V</td>\n",
       "      <td>313608N0740033E</td>\n",
       "      <td>90</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>20180430224613</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>35</td>\n",
       "      <td>4234</td>\n",
       "      <td>V</td>\n",
       "      <td>313527N0740729E</td>\n",
       "      <td>93</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>20180430224719</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>25</td>\n",
       "      <td>4242</td>\n",
       "      <td>V</td>\n",
       "      <td>313457N0741232E</td>\n",
       "      <td>95</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>20180430224753</td>\n",
       "      <td></td>\n",
       "      <td>DCT</td>\n",
       "      <td>20</td>\n",
       "      <td>4245</td>\n",
       "      <td>V</td>\n",
       "      <td>313445N0741426E</td>\n",
       "      <td>96</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>20180430225050</td>\n",
       "      <td>OPLA</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>4257</td>\n",
       "      <td>A</td>\n",
       "      <td>313400N0742200E</td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>69 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                ts     wp loc_type   fl time_el msg_type              crd  \\\n",
       "0   20180430174500   LTBA  MOPIN1B    2       0        A  405834N0284851E   \n",
       "1   20180430174510             DCT    5       1        V  405907N0284846E   \n",
       "2   20180430174640             DCT   35       7        V  410227N0284818E   \n",
       "3   20180430174716  *1IST  MOPIN1B   50      11        D  410440N0284759E   \n",
       "4   20180430174800             DCT   70      16        V  410511N0285132E   \n",
       "5   20180430174846             DCT   90      22        V  410547N0285547E   \n",
       "6   20180430174932             DCT  110      29        V  410630N0290046E   \n",
       "7   20180430175022             DCT  130      37        V  410719N0290626E   \n",
       "8   20180430175037    BKZ  MOPIN1B  136      40        N  410737N0290834E   \n",
       "9   20180430175113             DCT  150      46        V  410937N0291155E   \n",
       "10  20180430175210             DCT  170      56        V  411256N0291730E   \n",
       "11  20180430175309             DCT  190      67        V  411635N0292339E   \n",
       "12  20180430175414             DCT  210      79        V  412034N0293021E   \n",
       "13  20180430175526             DCT  230      92        V  412454N0293736E   \n",
       "14  20180430175611  MOPIN    UN644  241     101        W  412753N0294238E   \n",
       "15  20180430175646             DCT  250     108        V  412850N0294732E   \n",
       "16  20180430175815             DCT  270     126        V  413117N0300008E   \n",
       "17  20180430175934             DCT  285     142        V  413327N0301120E   \n",
       "18  20180430180041  TEVNI    UN644  297     157        W  413529N0302150E   \n",
       "19  20180430180059             DCT  300     161        V  413600N0302436E   \n",
       "20  20180430180148             DCT  310     171        V  413718N0303132E   \n",
       "21  20180430180229             DCT  310     180        V  413829N0303745E   \n",
       "22  20180430180253  ULMIP    UN644  315     185        W  413908N0304113E   \n",
       "23  20180430180500             DCT  340     212        V  414235N0310019E   \n",
       "24  20180430180653             DCT  360     238        V  414555N0311842E   \n",
       "25  20180430180814             DCT  370     257        V  414820N0313208E   \n",
       "26  20180430181046  ARPEM    UN644  370     292        W  415249N0315653E   \n",
       "27  20180430182215  GAKSU    UN644  370     450        W  421121N0334851E   \n",
       "28  20180430182601  OTKOT    UN644  370     502        W  420641N0342558E   \n",
       "29  20180430182722             DCT  380     521        V  420445N0343950E   \n",
       "..             ...    ...      ...  ...     ...      ...              ...   \n",
       "39  20180430192800  BARAD     M747  390    1390        W  412131N0450500E   \n",
       "40  20180430193857  SUBUT     T923  390    1545        W  405357N0464919E   \n",
       "41  20180430194303  EDELU     T923  390    1603        W  405052N0473038E   \n",
       "42  20180430195322  ERLEV      M11  390    1749        W  404349N0491431E   \n",
       "43  20180430195459  ABROD      M11  390    1772        W  404156N0493025E   \n",
       "44  20180430200328  AMOKU      M11  390    1892        W  403112N0505516E   \n",
       "45  20180430200700  RODAR     A909  390    1942        W  402800N0513000E   \n",
       "46  20180430201325  TUNEK     A909  390    2037        W  401548N0523518E   \n",
       "47  20180430202425  TUGTA     A909  390    2200        W  395324N0542700E   \n",
       "48  20180430202619  BABUM     A909  390    2228        W  394924N0544548E   \n",
       "49  20180430202954  BIBIM     A909  390    2281        W  394142N0552130E   \n",
       "50  20180430203300             DCT  390    2327        V  393448N0555233E   \n",
       "51  20180430203308  ABEKO     A909  390    2329        W  393430N0555354E   \n",
       "52  20180430203837  KEKAL      DCT  390    2410        W  392206N0564830E   \n",
       "53  20180430212911  LEMOD      DCT  390    3157        W  361000N0641730E   \n",
       "54  20180430222114     DI      DCT  390    3926        N  315448N0705306E   \n",
       "55  20180430222703             DCT  390    4012        V  314924N0714723E   \n",
       "56  20180430222818             DCT  360    4030        V  314816N0715844E   \n",
       "57  20180430222941             DCT  320    4050        V  314700N0721122E   \n",
       "58  20180430223255             DCT  250    4096        V  314407N0724023E   \n",
       "59  20180430223354             DCT  230    4108        V  314322N0724758E   \n",
       "60  20180430223554             DCT  190    4134        V  314144N0730422E   \n",
       "61  20180430223758             DCT  150    4158        V  314013N0731931E   \n",
       "62  20180430223905             DCT  130    4171        V  313924N0732743E   \n",
       "63  20180430224118             DCT   90    4195        V  313754N0734252E   \n",
       "64  20180430224436             DCT   50    4223        V  313608N0740033E   \n",
       "65  20180430224613             DCT   35    4234        V  313527N0740729E   \n",
       "66  20180430224719             DCT   25    4242        V  313457N0741232E   \n",
       "67  20180430224753             DCT   20    4245        V  313445N0741426E   \n",
       "68  20180430225050   OPLA             0    4257        A  313400N0742200E   \n",
       "\n",
       "   unknown_var unknown_status  \n",
       "0                           Y  \n",
       "1            9              Y  \n",
       "2           64              Y  \n",
       "3                           Y  \n",
       "4           17              Y  \n",
       "5           38              Y  \n",
       "6           62              Y  \n",
       "7           90              Y  \n",
       "8                           Y  \n",
       "9           10              Y  \n",
       "10          26              Y  \n",
       "11          44              Y  \n",
       "12          64              Y  \n",
       "13          85              Y  \n",
       "14                          Y  \n",
       "15          13              Y  \n",
       "16          45              Y  \n",
       "17          73              Y  \n",
       "18                          Y  \n",
       "19          14              Y  \n",
       "20          50              Y  \n",
       "21          82              Y  \n",
       "22                          Y  \n",
       "23          25              Y  \n",
       "24          50              Y  \n",
       "25          67              Y  \n",
       "26                          Y  \n",
       "27                          Y  \n",
       "28                          Y  \n",
       "29          54              Y  \n",
       "..         ...            ...  \n",
       "39                          Y  \n",
       "40                          Y  \n",
       "41                          Y  \n",
       "42                          Y  \n",
       "43                          Y  \n",
       "44                          Y  \n",
       "45                          Y  \n",
       "46                          Y  \n",
       "47                          Y  \n",
       "48                          Y  \n",
       "49                          Y  \n",
       "50          96              Y  \n",
       "51                          Y  \n",
       "52                          Y  \n",
       "53                          Y  \n",
       "54                          Y  \n",
       "55          26              Y  \n",
       "56          31              Y  \n",
       "57          37              Y  \n",
       "58          51              Y  \n",
       "59          55              Y  \n",
       "60          63              Y  \n",
       "61          70              Y  \n",
       "62          74              Y  \n",
       "63          81              Y  \n",
       "64          90              Y  \n",
       "65          93              Y  \n",
       "66          95              Y  \n",
       "67          96              Y  \n",
       "68                          Y  \n",
       "\n",
       "[69 rows x 9 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dffl.columns = ['ts', 'wp', 'loc_type', 'fl', 'time_el', 'msg_type', 'crd', 'unknown_var', 'unknown_status']\n",
    "dffl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "\n",
    "def create_epoch_ts(ts):\n",
    "    try:\n",
    "\n",
    "        ep = (datetime.datetime.strptime(str(int(ts)), '%Y%m%d%H%M%S') -\n",
    "              datetime.datetime(1970, 1, 1)).total_seconds()\n",
    "\n",
    "        return ep\n",
    "\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        return np.nan\n",
    "\n",
    "\n",
    "def get_latlon(crd):\n",
    "\n",
    "    c = crd\n",
    "    lat = int(c[:2]) + (int(c[2:4]) * 60 + int(c[4:6])) / 3600\n",
    "    lon = int(c[7:10]) + (int(c[10:12])*60 + int(c[12:14]))/3600\n",
    "\n",
    "    if c[14] == 'W':\n",
    "        lon = -lon\n",
    "\n",
    "    if c[6] == 'S':\n",
    "        lat = -lat\n",
    "\n",
    "    return lat, lon\n",
    "\n",
    "\n",
    "def process_ftfm_row(r):\n",
    "\n",
    "    r_dict = {}\n",
    "\n",
    "    try:\n",
    "        r_dict['flight_length'] = r['flight_length_as']\n",
    "        r_dict['data_type'] = 'm3'\n",
    "        r_dict['org'] = r['org']\n",
    "        r_dict['dst'] = r['dst']\n",
    "        r_dict['ac_type'] = r['ac_type']\n",
    "        r_dict['callsign'] = r['icao']\n",
    "\n",
    "        r_dict['seg_id'] = []\n",
    "        r_dict['ep_seg_b'] = []\n",
    "        r_dict['ep_seg_e'] = []\n",
    "        r_dict['fl_seg_b'] = []\n",
    "        r_dict['fl_seg_e'] = []\n",
    "        r_dict['status'] = []\n",
    "        r_dict['lat_seg_b'] = []\n",
    "        r_dict['lon_seg_b'] = []\n",
    "        r_dict['lat_seg_e'] = []\n",
    "        r_dict['lon_seg_e'] = []\n",
    "        r_dict['seq'] = []\n",
    "        r_dict['seg_len'] = []\n",
    "        r_dict['seg_par'] = []\n",
    "\n",
    "        fl_df = pd.DataFrame([i.split(':') for i in r['fl_points_as'].split(' ')])\n",
    "        fl_df.columns = ['t_seg_b', 'seg_id', 't_seg_e', 'unknown',\n",
    "                         'seg_crd_b', 'seg_crd_e', 'fl_seg_b', 'fl_seg_e',\n",
    "                         't_elapsed_b', 't_elapsed_e']\n",
    "\n",
    "        for i, d in fl_df.iterrows():\n",
    "            r_dict['seg_id'].append(d['seg_id'])\n",
    "            r_dict['ep_seg_b'].append(create_epoch_ts(d['t_seg_b']))\n",
    "            r_dict['ep_seg_e'].append(create_epoch_ts(d['t_seg_e']))\n",
    "            r_dict['fl_seg_b'].append(d['fl_seg_b'])\n",
    "            r_dict['fl_seg_e'].append(d['fl_seg_b'])\n",
    "            r_dict['status'].append(0)\n",
    "\n",
    "            lat_b, lon_b = get_latlon(d['seg_crd_b'])\n",
    "            lat_e, lon_e = get_latlon(d['seg_crd_e'])\n",
    "\n",
    "            r_dict['lat_seg_b'].append(lat_b)\n",
    "            r_dict['lon_seg_b'].append(lon_b)\n",
    "            r_dict['lat_seg_e'].append(lat_e)\n",
    "            r_dict['lon_seg_e'].append(lon_e)\n",
    "            r_dict['seq'].append(i)\n",
    "            r_dict['seg_len'].append(0)\n",
    "            r_dict['seg_par'].append(0)\n",
    "\n",
    "        r_dict['start_ep'] = r_dict['ep_seg_b'][0]\n",
    "        r_dict['end_ep'] = r_dict['ep_seg_e'][-1]\n",
    "        r_dict['start_lat'] = r_dict['lat_seg_b'][0]\n",
    "        r_dict['start_lon'] = r_dict['lon_seg_b'][0]\n",
    "        r_dict['end_lat'] = r_dict['lat_seg_e'][-1]\n",
    "        r_dict['end_lon'] = r_dict['lon_seg_e'][-1]\n",
    "        r_dict['flight_id'] = '%s_%s' % (str(r['icao']), str(r_dict['start_ep']))\n",
    "        \n",
    "        return r_dict\n",
    "\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        return False\n",
    "\n",
    "    return True\n",
    "\n",
    "\n",
    "def process_ctfm_row(r):\n",
    "    r_dict = {}\n",
    "\n",
    "    try:\n",
    "        r_dict['flight_length'] = r['flight_length']\n",
    "        r_dict['org'] = r['org']\n",
    "        r_dict['dst'] = r['dst']\n",
    "        r_dict['ac_type'] = r['ac_type']\n",
    "        r_dict['callsign'] = r['icao']\n",
    "\n",
    "        r_dict['seg_id'] = []\n",
    "        r_dict['ep_seg_b'] = []\n",
    "        r_dict['ep_seg_e'] = []\n",
    "        r_dict['fl_seg_b'] = []\n",
    "        r_dict['fl_seg_e'] = []\n",
    "        r_dict['status'] = []\n",
    "        r_dict['lat_seg_b'] = []\n",
    "        r_dict['lon_seg_b'] = []\n",
    "        r_dict['lat_seg_e'] = []\n",
    "        r_dict['lon_seg_e'] = []\n",
    "        r_dict['seq'] = []\n",
    "        r_dict['seg_len'] = []\n",
    "        r_dict['seg_par'] = []\n",
    "\n",
    "        fl_df = pd.DataFrame(\n",
    "            [i.split(':') for i in r['fl_points_2'].split(' ')])\n",
    "        fl_df.columns = ['ts', 'wp', 'loc_type', 'fl', 'time_el',\n",
    "                         'msg_type', 'crd', 'unknown_var', 'unknown_status']\n",
    "\n",
    "        for i, d in fl_df.iterrows():\n",
    "\n",
    "            r_dict['seg_id'].append(d['wp'])\n",
    "            r_dict['ep_seg_b'].append(create_epoch_ts(d['ts']))\n",
    "            r_dict['fl_seg_b'].append(d['fl'])\n",
    "            r_dict['status'].append(0)\n",
    "\n",
    "            lat, lon = get_latlon(d['crd'])\n",
    "\n",
    "            r_dict['lat_seg_b'].append(lat)\n",
    "            r_dict['lon_seg_b'].append(lon)\n",
    "\n",
    "            r_dict['seq'].append(i)\n",
    "            r_dict['seg_len'].append(0)\n",
    "            r_dict['seg_par'].append(0)\n",
    "\n",
    "        r_dict['ep_seg_e'] = r_dict['ep_seg_b'][1:]\n",
    "        r_dict['fl_seg_e'] = r_dict['fl_seg_b'][1:]\n",
    "        r_dict['lon_seg_e'] = r_dict['lon_seg_b'][1:]\n",
    "        r_dict['lat_seg_e'] = r_dict['lat_seg_b'][1:]\n",
    "\n",
    "        for k in ['seg_id', 'ep_seg_b', 'fl_seg_b', 'status', 'lat_seg_b', \n",
    "                  'lon_seg_b', 'seq', 'seg_len', 'seg_par']:\n",
    "            r_dict[k] = r_dict[k][:-1]\n",
    "\n",
    "        r_dict['start_ep'] = r_dict['ep_seg_b'][0]\n",
    "        r_dict['end_ep'] = r_dict['ep_seg_e'][-1]\n",
    "        r_dict['start_lat'] = r_dict['lat_seg_b'][0]\n",
    "        r_dict['start_lon'] = r_dict['lon_seg_b'][0]\n",
    "        r_dict['end_lat'] = r_dict['lat_seg_e'][-1]\n",
    "        r_dict['end_lon'] = r_dict['lon_seg_e'][-1]\n",
    "        r_dict['flight_id'] = '%s_%s' % (\n",
    "        str(r['icao']), str(r_dict['start_ep']))\n",
    "        \n",
    "        return r_dict\n",
    "\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l = [1,2,3,4,5]\n",
    "l[:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50,60):\n",
    "    point_dct = process_ctfm_row(df.iloc[i])\n",
    "    as_dct = process_ftfm_row(df.iloc[i])\n",
    "    plt.figure(figsize=(10,10))\n",
    "    plt.scatter(point_dct['lat_seg_b'], point_dct['lon_seg_b'], c='r')\n",
    "    plt.scatter(as_dct['lat_seg_b'], as_dct['lon_seg_b'])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.27"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int(c[7:10])+ (int(c[10:12])*60 + int(c[12:14]))/3600"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'W'"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c[14]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "l = [r for i,r in df.iterrows()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "org                                                       LTAI\n",
       "dst                                                       LTBJ\n",
       "icao                                                     TCARD\n",
       "start_t                                            2.01805e+13\n",
       "end_t                                              2.01805e+13\n",
       "fl_points    20180501112214:LTAIYNL:20180501112526:ES:36543...\n",
       "Name: 1, dtype: object"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    conn = psql.connect(\"dbname='thesisdata' user='postgres' host='localhost' password='postgres'\")\n",
    "except Exception as e:\n",
    "    print(\"Unable to connect to the database.\")\n",
    "    print(e)\n",
    "cur_read = conn.cursor(cursor_factory=RealDictCursor)\n",
    "cur_read.execute(\"SELECT * FROM public.adsb_ctfm_flights_2 limit 20;\")\n",
    "batch = cur_read.fetchall()\n",
    "conn.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0083C3_1526347197\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "009AD8_1538722168\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00A155_1525804178\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00A2E4_1525690730\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00A2E4_1538594606\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00A2E4_1539182096\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00B0F2_1526357707\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00B0F3_1526008664\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00B290_1525501796\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00B290_1525623587\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "010009_1525985394\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "010009_1526246310\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "010009_1539077888\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "01000F_1525633135\n"
     ]
    },
    {
     "data": {
      "image/png": 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3vioz05PdLgugZUIW0HOWltcyf3olW9s7SZKzTz2b+dMrSSJoAX3DciHQcxYWVy8FrIat7Z0sLK52qSKA9glZQM9Z39hs6zpALxKygJ4zcfxoW9cBepGQBfScudmpjI9d+eNpfGw0c7NTXaoIoH0a34Ge02hu93Qh0M+ELKAnzUxPXgpVJ07ckrNnn+5yRQDtsVwIAFCAkAUAUICQBQBQgJAFAFCAxndgINz/0EoWH38yO7vJ6Egy+yO35dSdJ7tdFjDEhCyg793/0EoefuzJSx/v7ObSx4IW0C2WC4G+t/j4k21dB+gEIQvoezu77V0H6AQhC+h7oyPtXQfoBCEL6HuzP3JbW9cBOkHjO9D3Gs3tni4EeomQBQyEU3eeFKqAnmK5EACgADNZwFBYWl7LwuJq1jc2M3H8aOZmpzIzPdntsoABJmQBA29peS3zp1eytb2TJFnf2Mz86ZUkEbSAYiwXAgNvYXH1UsBq2NreycLiapcqAoaBkAUMvPWNzbauAxwGIQsYeBPHj7Z1HeAwCFnAwJubncr42JU/7sbHRjM3O9WlioBhoPEdGHiN5nZPFwKdJGQBQ2FmelKoAjrKciEAQAFCFgBAAddcLqyqaiLJ/UmmkmwleSLJ36zr+mxVVT+W5NNJjiX5ZpL313X93XLlAgD0h1ZmsnaT/FJd11Vd169Lsprko1VVjSb5jST/a13Xtyf590k+Wq5UAID+cc2QVdf19+q6/tJll/5Dkj+f5E1Jztd1/ZW9659K8tcOvUIAgD7UVk/W3uzVzyX53SSvSPKtxr26rv9LktGqql5yqBUCAPShdrdw+JUk55J8IslfPYwCJiZuPoy32deJE7cUe296h3EeDsZ58Bnj4TBM49xyyKqq6uNJXpPknXVd71RV9ce5uGzYuP8DSXbquv5eOwWsr5/Lzs5uO5/SkhMnbsnZs08f+vvSW4zzcDDOg88YD4d+HufR0ZG2J4ZaWi6squof52IP1rvqum6cqPofkxyrquqtex9/KMln2/rqAAADqpUtHKaT/N0kX0/yaFVVSfKNuq7/alVVp5J8uqqqF2ZvC4eCtQIA9I1rhqy6rpeTjDS592iS1x12UQAA/c6O7wAABQhZAAAFCFkAAAUIWQAABbS7GSkAz7O0vJaFxdWsb2xm4vjRzM1OZWZ6sttlAV0mZAHcgKXltcyfXsnW9k6SZH1jM/OnV5JE0IIhZ7kQ4AYsLK5eClgNW9s7eeALX+9SRUCvELIAbsD6xua+1889u52l5bUOVwP0EiEL4AZMHD/a9N7C4moHKwF6jZAFcAPmZqea3ms2ywUMByEL4AbMTE/mphce2ffeQbNcwOATsgBu0PveXmV87Mofp+NjowfOcgGDzxYOADeosVWDvbKAywlZAIdgZnpSqAKuYLkQAKAAIQsAoAAhCwCgACELAKAAIQsAoAAhCwCgACELAKAA+2QBdNjS8pqNS2EICFkAHbS0vJb50yvZ2t5JcvEQ6fnTK0kiaMGAsVwI0EELi6uXAlbD1vZOFhZXu1QRUIqQBdBB6xubbV0H+peQBdBBE8ePtnUd6F9CFkAHzc1OZXzsyh+942OjmZud6lJFQCka3wE6qNHc7ulCGHxCFkCHzUxPClUwBCwXAgAUIGQBABRguRCgx9gRHgaDkAXQQ+wID4PDciFAD7EjPAwOIQugh9gRHgaHkAXQQ+wID4NDyALoIXaEh8Gh8R2gh9gRHgaHkAXQY+wID4PBciEAQAFCFgBAAUIWAEABerIA+oxjd6A/CFkAfcSxO9A/LBcC9BHH7kD/ELIA+ohjd6B/CFkAfcSxO9A/hCyAPuLYHegfGt8B+ohjd6B/CFkAfcaxO9AfLBcCABQgZAEAFCBkAQAUIGQBABSg8R1giDj3EDpHyAIYEs49hM6yXAgwJJx7CJ0lZAEMCeceQmcJWQBDwrmH0FlCFsCQcO4hdJbGd4Ah4dxD6CwhC2CIOPcQOsdyIQBAAUIWAEABQhYAQAFCFgBAAUIWAEABni4EoGUOmIbWCVkAtMQB09Aey4UAtMQB09AeIQuAljhgGtojZAHQEgdMQ3uELABa4oBpaI/GdwBa4oBpaI+QBUDLHDANrROyADh09tMCIQuAQ2Y/LbhI4zsAh8p+WnCRkAXAobKfFlwkZAFwqOynBRcJWQAcKvtpwUUa3wE4VPbTgouELAAOnf20wHIhAEARQhYAQAFCFgBAAUIWAEABQhYAQAFCFgBAAUIWAEABQhYAQAFCFgBAAUIWAEABLR2rU1XVx5P8VJJXJnldXdd/sHf9m0nO7/1Jkr9d1/VDh14lACRZWl5zJiJ9o9WzCz+X5J8m+fI+997dCF0AUMrS8lrmT69ka3snSbK+sZn50ytJImjRk1paLqzr+it1XX+7dDEA0MzC4uqlgNWwtb2ThcXVLlUEB2t1Jusgv1lV1UiSryT5e3Vdf/8Q3hMArrC+sdnWdei2Gw1Zb6vr+ttVVR1N8k+SfCLJ+9t5g4mJm2+whOZOnLil2HvTO4zzcDDOg+9aY3zi1mM5+9SzV10fHR3Jz3z0i/mBW4/lA3f9cH7iTS8vVSKHYJi+l28oZDWWEOu63qyq6t4kv9vue6yvn8vOzu6NlLGvEyduydmzTx/6+9JbjPNwMM6Dr5UxftdbX3VFT1ZD43fI2aeeza/89uPZePq8Hq0e1c/fy6OjI21PDF33Fg5VVd1UVdWL9v73SJL3JHn8et8PAA4yMz2Zu+86mYnjR5MkoyNXv0aPFr2k1S0cfjnJXJLJJF+oqmo9yTuT/E5VVUeSHElyJsnPlyoUAGamJy/NUn3wo1/c9zV6tOgVLYWsuq5/Ickv7HPrDYdbDgC0ZuL40X0DVWOmC7rNju8A9KW52amMj135a2x8bDRzs1NdqgiudBhbOABAxzWWDe0AT68SsgDoW5f3aEGvsVwIAFCAkAUAUICQBQBQgJAFAFCAkAUAUICQBQBQgJAFAFCAkAUAUICQBQBQgJAFAFCAkAUAUICQBQBQgAOiAeAyS8trWVhczfrGZiaOH83c7JRDqLkuQhYA7FlaXsv86ZVsbe8kSdY3NjN/eiVJBC3aZrkQAPYsLK5eClgNW9s7WVhc7VJF9DMzWQCwZ31js+n1D370i5YPaYuZLADYM3H86IH3G8uHS8trHaqIfiZkAcCeudmpjI8d/KvR8iGtslwIAHsay4CNpwubOegeNAhZAHCZmenJS2Hrnnsf2TdQXWtZERLLhQDQ1H7Lh+Njo5mbnepSRfQTM1kA0MTzlw89XUg7hCwAOMDly4fQDsuFAAAFCFkAAAUIWQAABQhZAAAFCFkAAAUIWQAABQhZAAAFCFkAAAUIWQAABQhZAAAFCFkAAAUIWQAABQhZAAAFCFkAAAUIWQAABQhZAAAFjHW7AAAYVkvLa1lYXM36xmYmjh/N3OxUZqYnu10Wh8RMFgB0wdLyWuZPr2R9YzNJsr6xmfsePJMPffzhLC2vdbk6DoOQBQBdsLC4mq3tnauub23v5r4Hz+T+h1a6UBWHScgCgC5ozGA18/BjT5rR6nNCFgB0wcTxo9d8zcLiagcqoRQhCwC6YG526pqvudZsF71NyAKALpiZnswdb7jtwNe0MttF77KFAwB0yak7T+bVL3txfv3f1Nl87sIV98bHRvP6qYncc+8jtnjoU0IWAHTRzPRkZqYnr9oz6/VTE3nka2uXnkBc39jM/OmVS59D7xOyAKAHNMJWwz33PnLVFg9b2ztZWFwVsvqEniwA6EHNmt41w/cPIQsAelCzpnfN8P1DyAKAHjQ3O5XxsSt/TY8dGcn5re188KNfzD33PmKz0h6nJwsAelCj76rRDH/zsbE8e347z5y/+BSiRvjeJ2QBQI+6vBn+nnsfyblnt6+4v7W9k1/7/JlLr6W3WC4EgD7QrOF9ZzeZP71i6bAHCVkA0AcOanhvbO1AbxGyAKAP7NcIf7n1jU2zWT1GyAKAPjAzPZm77zqZ0ZHmr7Fs2FuELADoEzPTk/mZd7y26YyWZcPeImQBQB9pzGg1Y0f43iFkAUCfmZmetCN8HxCyAKAP7dcIPz42mrnZqS5VxPPZjBQA+tDzd4SfOH40c7NTNiXtIUIWAPSpy3eEp/dYLgQAKEDIAgAoQMgCAChATxYADKil5TWN8V0kZAHAAFpaXsv86ZVsbe8kubhJ6fzplSQRtDrEciEADKCFxdVLAatha3snD3zh612qaPgIWQAwgJodr3Pu2W2HSHeIkAUAA+ig43XMZnWGkAUAA+ig43XMZnWGkAUAA2hmejI3vfBI0/sLi6sdrGY4CVkAMKDe9/aq6b1mPVscHiELAAbUtWaz7rn3EcuGBQlZADDA3vf2KuNj+/+6b+ydJWiVIWQBwACbmZ7M3XedbPq04db2jv6sQoQsABhwM9OT+djPv6Xpff1ZZQhZADAkms1mHbSnFtdPyAKAITE3O3VVf9b42OiBe2px/RwQDQBDonEw9MLiatY3NjNx/GjmZqccGF2IkAUAQ2RmelKo6hAhCwDY19LymlmvGyBkAQBXWVpey/zplWxt7yT5b3tqJRG0WqTxHQC4ysLi6qWA1WBPrfYIWQDAVZrtnWVPrdYJWQDAVeypdeOELADgKvbUunEa3wGAq9hT68ZdM2RVVfXxJD+V5JVJXlfX9R/sXb89yXySiSTrST5Q1/UT5UoFADrJnlo3ppXlws8l+fEk33re9U8l+WRd17cn+WSSTx9ybQAAfeuaIauu66/Udf3ty69VVfXSJG9M8sDepQeSvLGqqhOHXyIAQP+53p6slyf5k7quLyRJXdcXqqp6cu/62XbeaGLi5uss4dpOnLil2HvTO4zzcDDOg88YD4dhGueuN76vr5/Lzs7uob/viRO35OzZpw/9fektxnk4GOfBZ4z7W6vH7/TzOI+OjrQ9MXS9Wzh8O8kPVVV1JEn2/r5t7zoAMCQax+80NiltHL+ztLzW5cq677pCVl3X303yeJL37l16b5LH6rpua6kQAOhvjt9p7pohq6qqX66q6jtJXpbkC1VVLe/d+lCSD1dV9fUkH977GAAYIo7fae6aPVl1Xf9Ckl/Y5/pKkr9UoigAoD9MHD/aNFDdc+8jQ72BqWN1AIDrtt/xOw3D3p8lZAEA121mejJ333Wy6cHRW9s7eeALX+9wVb1ByAIAbsjM9GQ+9vNvaXr/3LPbuf+hlQ5W1BuELADgUDSbzUqShx97Mv/sXz3ewWq6T8gCAA7F3OzUgfd/b+lbQ9Wf1fUd3wGAwTAzPZnf+nd1njl/4Yrrbxr/o7zj2GO5dfSZfP/LN2Vr/K9n/DVv7lKVnWMmCwA4NO97e3XFx28a/6O856alvOTIMxkZSW4dfSbnHv5Mtp54tEsVdo6QBQAcmpnpydzxhtsuffyOY49lfOTKma0XZDtPP/rbnS6t44QsAOBQnbrz5KWgdevoM/u+5gXnvz/w/VlCFgBw6E7deTJJ8tTOTU1fc9u//0f51/MPdKqkjhOyAIAi7njDbfn8s2/I1u6Rq+6NjCQvOfJMfvz8F/LF3/mdLlRXnpAFABRx6s6T+bMffGP+5TMz+d6Fm7K7e/Vrxkcu5IfP/tuBXDoUsgCAYu557xvzxjvfkX+08VNNX3PTyGZu//LfGbigJWQBAEXNTE/mZ97x2qb9WSMjyQtGkpNf/jsdrqwsIQsAKG5mejK/f/xt+y4ZJheD1pGR5PHf/KedLawgIQsA6IgP/u8/m63RFza9PzKS/PfnHhuYZUMhCwDomOM/8YE0mcy65FcfPDMQQUvIAgA6Zvw1b87INV6zm+Qzn+//oCVkAQAddfSO/6Vpb1bDhd1kYXG1MwUVImQBAB01/po35/yxl14VtHZ3k5XnJi99vL6x2dezWUIWANBxL/3AL+Xci6ayu5tLf1aem8ynzv3kFa+bP73St0FrrNsFAADD6bb3fCRLy2v5F7/3h9m+sP/64db2ThYWVzMzPbnv/V4mZAEAXdMITw984es59+z2vq9Z39jsZEmHxnIhANBVM9OT+eX/7cczcfxo09f045KhkAUA9IS52amm9/rxSUMhCwDoCQf1XfXjkqGQBQD0jNEmO5U2u97LNL4DAD1j57KHDN9YXjnlAAAGs0lEQVQ0/kd5x7HHcuvoM3lq56ZsPfHCjL/mzd0rrk1msgCAntFofn/T+B/lfTc9mpcceSYjI8lLjjyTzcXPZOuJR7tcYeuELACgZ8zNTmV8bDRzf+6rGRvZufLmznY2H/2t7hR2HSwXAgA9o9H8ftNX9m90390818lyboiZLACgpxy4u/tucubh050r5gYIWQBA3xgZSV7y9c91u4yWCFkAQM/5szTf/f3PpT/2zBKyAICe873b35Xd/c+M7htCFgDQc157x10H3v/+P//pzhRyA4QsAKAnNVsyHBlJRneTp3s8aAlZAEBP+t7t78r27v7n6Yz0wTE7QhYA0JNee8dd+a1n3tK0N6vXW7aELACgZx2ffmvzm7vJ/Q+tdK6YNglZAEDPOnXnyQPvv6ReyNLyWoeqaY+QBQD0tGbLgiMjyVuOPpEHvvD1jtbTKiELAOhpf3L7/9y0L2s0uzn37HZnC2qRkAUA9LTX3nFXcsDThP/gRb/duWLaIGQBAD2vWcYaGUluHT3f0VpaJWQBAD1v5OaJA+/3YvO7kAUA9LzxH/2pA88y7MXmdyELAOh5469584H3e7H5XcgCAPrCuRdNXTWbtbubrDw32Z2CrkHIAgD6wm3v+UhWnpvM7m4u/Vl5bjKfOveT3S5tX2PdLgAAoFUHBapfvG8p/+fPznSwmoOZyQIABsKT6892u4QrCFkAAAUIWQBA37jjDbd1u4SWCVkAQN84defJHBvfP77cNnGsw9UcTMgCAPrKJ//WT1wVqG6bONZTTe+JpwsBgD7Ua4FqP2ayAAAKELIAAAoQsgAAChCyAAAKELIAAAoQsgAAChCyAAAKELIAAAoQsgAAChCyAAAKELIAAAoQsgAAChCyAAAKELIAAAoQsgAAChCyAAAKELIAAAoQsgAAChCyAAAKGOvi1z6SJKOjI8W+QMn3pncY5+FgnAefMR4O/TrOl9V9pNXPGdnd3S1TzbW9NcmXu/XFAQCuw9uSfKWVF3YzZB1N8qNJ/jTJhW4VAQDQgiNJfjDJV5NstvIJ3QxZAAADS+M7AEABQhYAQAFCFgBAAUIWAEABQhYAQAFCFgBAAUIWAEAB3TxW59BUVfW5JK9KspPkXJIP13X9eFVVtyeZTzKRZD3JB+q6fqJ7lXIjDhjnbyY5v/cnSf52XdcPdaVIDkVVVf8gyT9M8rq6rv+gqqofS/LpJMeSfDPJ++u6/m73KuQw7DPOu0m+lovf40lyqq7rr3WrPm5Ms5/Nw/T9PBAhK8nddV3/1ySpqup/SvKZJG9M8qkkn6zr+jeqqnp/Lg7qX+5emdygZuOcJO+u6/oPulYZh6aqqjcm+bEk39r7eDTJbyT56bquv1JV1S8m+WiSD3avSm7U88f5Mm+u6/pcF0qijCt+Ng/b9/NALBc2fvHueVGSnaqqXpqLv4Af2Lv+QJI3VlV1otP1cTj2G+du1UIZVVUdTfLJJD932eU3JTlf13XjrLBPJflrna6Nw9NknBkOQ/X9PBAhK0mqqvrVqqr+OMn/leTuJC9P8id1XV9Ikr2/n9y7Tp/aZ5wbfrOqqt+vqureqqpe3KXyuHH/R5LfqOv6m5dde0Uum+2o6/q/JBmtquolHa6Nw7PfODd8qaqqx6uq+r/3whj97fk/m4fq+3lgQlZd13+jrutXJPl7ST7W7Xooo8k4v62u67+QiweOjyT5RLfq4/pVVTWT5C8mubfbtVDONcb5FXVd/8UkP57ktUk+0snaOHRD/7N5YEJWQ13X9ye5I8l3kvxQVVVHkmTv79uSfLuL5XFIGuNcVdVEXdff3ru2mYs/uN/S1eK4XrNJfjjJN/YaZl+W5KEkr07y5xsvqqrqB5Ls1HX9vS7UyI3bd5yrqvrJy76XN5L8anwv97UmP5v/OEP0/dz3Iauqqpurqnr5ZR+/M8n3knw3yeNJ3rt3671JHqvr+mznq+RGHTDO56uqetHetZEk78nFcafP1HX90bqub6vr+pV1Xb8yF/+P0p25OGN5rKqqt+699ENJPtulMrlBB4zzV6uqOpYkVVWNJXl3fC/3raqqbmrys/k/Zoi+nwfh6cKbkny2qqqbklzIxV+876zrereqqg8lma+q6u8neSrJB7pYJzdm33FO8t8l+Z29mcojSc4k+fmuVcmhq+t6p6qqU0k+XVXVC7P3yHd3q6KAk7k4xrtJXpDk0Vgu7Gf7/mwetu/nkd3d3W7XAAAwcPp+uRAAoBcJWQAABQhZAAAFCFkAAAUIWQAABQhZAAAFCFkAAAUIWQAABfz/3ppYaYif0aQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "01000F_1538583890\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0100E5_1525549932\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "010109_1539205365\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "01010C_1539119045\n"
     ]
    },
    {
     "data": {
      "image/png": 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CGcBhudoROFFaVzXec9+jufDk5hX7To8MZ2Z6ohdlASeI8AWcOFOT45maHM/C4ko++MBncv7zT2bszGhmpie0nAC6TvgCTqypyfF8z3e8MOfPf7HXpQAniDVfAAA1cuYLoEOXd8Y3TQlcL+ELoAOtzvitBq2ra+uZPbeUJAIYcCCmHQE6sFtnfE1ZgeshfAF0oF3zVU1ZgYMSvgA60K75qqaswEEJXwAd2K0zvqaswPWw4B6gA61F9a52BA5L+ALoUKszPsBhmHYEAKiR8AUAUCPTjgBdpCs+cDXhC6BLdMUHdmPaEaBLdMUHdiN8AXSJrvjAboQvgC7RFR/YjfAF0CW64gO72XfBfVVVY0nuTjKRZCPJp5P8SCnlfFVVL03y3iQ3JnksyetLKX/VvXIB+oeu+MBuOrnacTvJL5ZS7k+SqqrenuRtVVX9cJLfTPKDpZQHqqr6mSRvS/LGbhUL0G90xQeutu+0Yynlc63g1fSHSZ6X5CVJniqlPNDc/p4k33fkFQIADJADrfmqqmo4yY8m+Z0kz03y2da+UspfJxmuquorj7RCAIABctAmq7+a5EKSdyb53qMoYGzs5qM4zK7Onn16147db4xFg3HYYSx2GIsdxmKHsdhhLI5Wx+Grqqp3JHlhkleXUraqqvqzNKYfW/u/KslWKeVzBylgdfVCtra2D/KUjpw9+/ScP//FIz9uPzIWDcZhh7HYYSx2GIsdxmKHsWgYHh46shNGHU07VlX1C2ms8XpNKaXVHfATSW6squplzb+/KckHjqQqAIAB1UmrickkP5Xk0SQfr6oqST5TSvneqqruSPLeqqpuSLPVRBdrBQDoe/uGr1LKYpKhNvs+nuQbjrooAIBBpcM9AECNhC8AgBoJXwAANTpony8AjoGFxRX3jIQ+JXwB9JmFxZXMnlvKxuZWkmR1bT2z55aSRACDPmDaEaDPzM0vXwpeLRubW5mbX+5RRcBBCF8AfWZ1bf1A24HjRfgC6DNjZ0YPtB04XoQvgD4zMz2R0yNXvn2fHhnOzPREjyoCDsKCe4A+01pU72pH6E/CF0AfmpocF7agT5l2BACokfAFAFAj4QsAoEbCFwBAjYQvAIAaudoR4ARYWFzJPfc9mgtPbiZJbrrhVF73isoVk9ADwhfAgFtYXMmvf/iRbF7cvrTtS09dzPs+9HASN+OGupl2BBhwc/PLVwSvlovbcTNu6AHhC2DA7XXDbTfjhvoJXwADbq8bbrsZN9RP+AIYcDPTExk5NXTN9lNDcTNu6AEL7gEGXGtBvasd4XgQvgBOADfihuPDtCMAQI2ELwCAGglfAAA1Er4AAGokfAEA1Ej4AgCokfAFAFAj4QsAoEbCFwBAjYQvAIAaub0QAB1bWFzJ3PxyVtfWM3ZmNDPTE25bBAckfAHQkYXFlcyeW8rG5laSZHVtPbPnlpJEAIMDMO0IQEfm5pcvBa+Wjc2tzM0v96gi6E/CFwAdWV1bP9B2YHemHQHoyNiZ0V2D1vBQ8sa3/b41YNAhZ74A6MjM9EROj1z7sbG13fi9tQZsYXGl5sqgvwhfAHRkanI8d952S8bOjCZpnPG6mjVgsD/TjgB0bGpy/NK04hvf9vu7PsYaMNibM18AXJfWGbBOtwMNwhcA12W3NWCnR4YzMz3Ro4qgP5h2BOC6tKYfdbyHgxG+ALhul68BAzpj2hEAoEbCFwBAjYQvAIAaCV8AADUSvgAAaiR8AQDUSPgCAKiR8AUAUCPhCwCgRsIXAECNhC8AgBoJXwAANRK+AABqJHwBANRopNcFAEDLwuJK5uaXs7q2nrEzo5mZnsjU5Hivy4IjJXwBcCwsLK5k9txSNja3kiSra+uZPbeUJAIYA8W0IwDHwtz88qXg1bKxuZW5+eUeVQTdIXwBcCysrq0faDv0K+ELgGNh7MzogbZDvxK+ADgWZqYncnrkyo+l0yPDmZme6FFF0B0W3ANwLLQW1bvakUEnfAFwbExNjgtbDDzTjgAANRK+AABqJHwBANRI+AIAqJHwBQBQI+ELAKBGwhcAQI2ELwCAGglfAAA16qjDfVVV70jyT5I8P8k3lFI+1dz+WJKnmr+S5CdLKR858ioBAAZEp7cX+mCSX07ysV32vbYVxgAA2FtH4auU8kCSVFXV3WoAAAbc0Pb2dscPbk4zfvdV045/k2QoyQNJfrqU8oUOD/f8JJ/p+IsDAPTeC5I8dpgDdDrt2M7LSymPV1U1muSXkrwzyesPcoDV1QvZ2uo8AHbq7Nmn5/z5Lx75cfuRsWgwDjuMxQ5jscNY7DAWO4xFw/DwUMbGbj6aYx3myaWUx5u/ryd5d5JvP4qiAAAG1XWf+aqq6qYkI6WUv6mqaijJDyR56MgqA4BDWlhcydz8clbX1jN2ZjQz0xOZmhzvdVmccJ22mviVJDNJxpPcV1XVapJXJ/ntqqpOJTmV5OEkP9atQgHgIBYWVzJ7bikbm1tJktW19cyeW0oSAYye6vRqx7ckecsuu77laMsBgKMxN798KXi1bGxuZW5+Wfiip3S4B2Agra6tH2g71EX4AmAgjZ0ZPdB2qIvwBcBAmpmeyOmRKz/mTo8MZ2Z6okcVQcNh+3wBwLHUWtflakeOG+ELgIE1NTkubHHsmHYEAKiR8AUAUCPhCwCgRsIXAECNhC8AgBoJXwAANRK+AABqJHwBANRI+AIAqJHwBQBQI+ELAKBGwhcAQI2ELwCAGglfAAA1Gul1AQDQDxYWVzI3v5zVtfWMnRnNzPREpibHe10WfUj4AoB9LCyuZPbcUjY2t5Ikq2vrmT23lCQCGAdm2hEA9jE3v3wpeLVsbG7lnvse7VFF9DPhCwD2sbq2vuv2C09uZmFxpeZq6HfCFwDsY+zMaNt9c/PLNVbCIBC+AGAfM9MTbfetrq07+8WBCF8AsI+pyfHcdMOptvtnzy0JYHRM+AKADrzuFVVOj+z+sbmxuWX6kY4JXwDQganJ8dx52y1t97dblA9XE74AoENTk+NtF9/vtSgfLid8AcABzExPXDP9eHpkeM9F+XA5He4B4ABaHe3daojrJXwBwAFNTY4LW1w3044AADUSvgAAaiR8AQDUSPgCAKiR8AUAUCPhCwCgRsIXAECNhC8AgBoJXwAANRK+AABqJHwBANTIvR0BoCYLiytuyI3wBQB1WFhcyey5pWxsbiVJVtfWM3tuKUkEsBPGtCMA1GBufvlS8GrZ2NzK3PxyjyqiV4QvAKjB6tr6gbYzuIQvAKjB2JnRA21ncAlfAFCDmemJnB658mP39MhwZqYnelQRvWLBPQDUoLWo3tWOCF8AUJOpyXFhC9OOAAB1Er4AAGokfAEA1Ej4AgCokfAFAFAj4QsAoEbCFwBAjYQvAIAaCV8AADUSvgAAaiR8AQDUSPgCAKiR8AUAUCPhCwCgRsIXAECNhC8AgBqN9LoAAKBzC4srmZtfzuraesbOjGZmeiJTk+O9LosDEL4AoE8sLK5k9txSNja3kiSra+uZPbeUJAJYHzHtCAB9Ym5++VLwatnY3Mo99z3ao4q4HsIXAPSJ1bX1XbdfeHIzC4srNVfD9RK+AKBPjJ0Zbbtvbn65xko4DOELAPrEzPRE233tzopx/AhfANAnpibHc9MNp3bdt9dZMY4X4QsA+sjrXlHl9MiVH9+nR4b3PCvG8aLVBAD0kVZLCb2++te+4auqqnck+SdJnp/kG0opn2puf1GS2SRjSVaTvKGU8unulQoAJI0AJmz1r06mHT+Y5B8k+exV29+T5F2llBcleVeS9x5xbQAAA2ff8FVKeaCU8vjl26qq+uoktya5p7npniS3VlV19uhLBAAYHNe74P45Sf6ilHIxSZq/P9HcDgBAGz1fcD82dnPXjn327NO7dux+YywajMMOY7HDWOwwFjuMxQ5jcbSuN3w9nuTZVVWdKqVcrKrqVJJnNbcfyOrqhWxtbV9nGe2dPfv0nD//xSM/bj8yFg3GYYex2GEsdhiLHcZih7FoGB4eOrITRtc17VhK+askDyW5vbnp9iQPllLOH0lVAAADat/wVVXVr1RV9edJvjbJfVVVLTZ3vSnJm6uqejTJm5t/BwBgD/tOO5ZS3pLkLbtsX0rybd0oCgBgUPV8wT0A0D0Liyu64R8zwhcADKiFxZXMnlvKxuZWkmR1bT2z55aSRADrITfWBoABNTe/fCl4tWxsbmVufrlHFZEIXwAwsFbX1ttuX1hcqbkaWoQvABhQY2dG2+67696Hc/dHlmqshhbhCwAG1Mz0RE6PtP+o/+iDT+Tt93yyxopIhC8AGFhTk+O587Zb9nzMI5/9ggBWM+ELAAbY1OT4ntOPSSOAWQNWH+ELAAbczPTEvo+5575Ha6iERPgCgIE3NTme7/yWZ+35mAtPbjr7VRPhCwBOgDtedUte/Lxn7PkY/b/qIXwBwAnx1ttv3TOAtesLxtESvgDgBHnr7bfmphtO7bpvv4X5HA3hCwBOmNe9orqm/9fpkeGOFuZzeG6sDQAnTOum2nPzy1ldW8/YmdHMTE+42XZNhC8AOIGmJseFrR4x7QgAUCPhCwCgRsIXAECNhC8AgBoJXwAANXK1IwCwq4XFlXzwgYWc//yT2lEcIeELALjGwuJKZs8tZWNzK0nj1kOz55aSRAA7JNOOAMA15uaXLwWvlo3Nrdx178N567v/IAuLKz2qrP8JXwDANfa6yXbrLJgAdn2ELwDgGvvdZNtZsOsnfAEA15iZnrjm5tu7cRbs4IQvAOAaU5PjufO2W3L2mTfu+9iNza3MzS/XUNVgEL4AgF1NTY7nfT/zyvzwq79+37Nge60R40paTQAAe2q1lpibX24bsvZbI8YO4QsA2NfU5HimJsev6f+VJKdHhjMzPdHD6vqL8AUAdOzqs2A63x+c8AUAHEjrLBjXR/gCAA5lYXHFmbADEL4AgOvmHpAHp9UEAHDd2t0DUt+v9oQvAOC6tWs9oe9Xe8IXAHDd2vX30verPeELALhuu90DUt+vvVlwDwBcN32/Dk74AgAORd+vgzHtCABQI+ELAKBGwhcAQI2ELwCAGglfAAA1Er4AAGokfAEA1Ej4AgCokSarAEBXLCyu6Hy/C+ELADhyC4srmT23lI3NrSTJ6tp6Zs8tJcmJD2CmHQGAIzc3v3wpeLVsbG7lnvse7VFFx4fwBQAcudW19V23X3hyMwuLKzVXc7wIXwDAkRs7M9p239z8co2VHD/CFwBw5GamJ9rua3dW7KQQvgCAIzc1OZ6bbji16769zoqdBMIXANAVr3tFldMjV0aN0yPDe54VOwm0mgAAuqLVUkKvrysJXwBA10xNjp/4sHU14QsAqI2u98IXAFATXe8bLLgHAGrRruv9Sev7JXwBALVo19/rpPX9Er4AgFq06+910vp+CV8AQC1mpif0/YoF9wBATfT9ahC+AIDa6Ptl2hEAoFbCFwBAjYQvAIAaCV8AADUSvgAAaiR8AQDUSPgCAKiRPl8AQM8tLK6cmOarwhcA0FMLiyuZPbeUjc2tJI0bbc+eW0qSgQxgph0BgJ6am1++FLxaNja3Mje/3KOKuuvQZ76qqnosyVPNX0nyk6WUjxz2uADAybC6tn6g7f3uqKYdX1tK+dQRHQsAOEHGzoy2DVpvv+eTeevtt9ZcUXeZdgQAempmeqLtvkc++4UaK6nH0Pb29qEO0Jx2/JskQ0keSPLTpZRORur5ST5zqC8OAAyEV//3/67tvnv/l39cYyX7ekGSxw5zgKOYdnx5KeXxqqpGk/xSkncmeX2nT15dvZCtrcMFwN2cPfv0nD//xSM/bj8yFg3GYYex2GEsdhiLHcZix3EYi15//SQZHh7K2NjNR3Oswx6glPJ48/f1JO9O8u2HPSYAcLK8+HnP2HX7qaFGK4pBcqjwVVXVTVVVfUXzz0NJfiDJQ0dRGABwcrz19lt3DWAXt5PZc0sDFcAOe+bra5LcX1XVf0ryqSQvSvJjh64KADhx3nr7rRk7M3rN9kHr+XWoNV+llP8vybccUS0AwAl3Enp+aTUBABwbu535ahmUqUf3dgQAjo2Z6Yncde/DSZI33fx7ueVpO4Fr+WPPSiZ/oVelHRlnvgCAY6N1I+1W8BoayqVfE0OcvG+mAAALuklEQVRP5MKH/k2PKzw84QsAOFZuvnHkUvC63NBQsv3EI70p6ggJXwDAsbLf3Xf+9mOzNVXSHcIXAHCsfOmpi3vuv/jIR2uqpDuELwDgWBk7M5qlL49nrxNg/Xz2S/gCAI6VmemJvO+p78pek48XH7m/rnKOnFYTAMCx0rri8YH/+0V5+eij1yy8b9h7Xdhx5swXAHDsTE2O57f/9qV7PqZfpx6FLwDg2FrfPtV238Wl+RorOTrCFwBwLJ0eGcr/8bdT7Rfeb2/VWs9REb4AgGPpzttenE9u/BftV3cN9WeMseAeADiWWgvv/8P8LXnpqaVrFt6fumW6B1UdXn9GRgDgxJj725fmY+svysXtoWxvJxe3h7L6NS/N33n5nb0u7bo48wUAHFtz88vZ2NzKb2++9IqrH8cujubtPazrMJz5AgCOrdW19QNt7wfCFwBwbI0+bfdWE+229wPhCwA4tta/vPtNtttt7wfCFwDQlxYWV3pdwnURvgCAY2t41/s6Ntxz36P1FXKEhC8A4Nia/uZntd134cnNvjz7JXwBAMfWHa+6JadH2p/+6sezX8IXAHCs3Xnbi9vu68ezX8IXAHCsTU2O56Yb2reWmJtfrrGawxO+AIBj73WvqNruW11b76uzX8IXAHDs7Xf269c//EjfBDDhCwDoC697RZXTI7tHl82L2/n1Dz9Sc0XXR/gCAPrC1OR47rztlrb7Ny9u5+6PLNVY0fURvgCAvjE1Ob7n/vsfeqKmSq6f8AUA9JW91n5tb9dYyHUSvgCAvrLXlY/9QPgCAPrKflOPx53wBQBQI+ELAOgrb7/nk70u4VCELwCgrzzy2S/0uoRDEb4AAGokfAEAA+PFz3tGr0vYl/AFAPSVdgHrxtPDeevtt9ZczcEJXwBAX3nr7bdeE8Be/Lxn5F0//h29KeiARnpdAADAQfXDGa52nPkCAKiR8AUAUCPhCwCgRsIXAECNhC8AgBoJXwAANRK+AABqJHwBANRI+AIAqJHwBQBQI+ELAKBGwhcAQI2ELwCAGglfAAA1Er4AAGokfAEA1Ej4AgCokfAFAFAj4QsAoEYjPfzap5JkeHioa1+gm8fuN8aiwTjsMBY7jMUOY7HDWOwwFleMwanDHmtoe3v7sMe4Xi9L8rFefXEAgOvw8iQPHOYAvQxfo0m+NclfJrnYqyIAADpwKsnfTfJHSdYPc6Behi8AgBPHgnsAgBoJXwAANRK+AABqJHwBANRI+AIAqJHwBQBQI+ELAKBGvby90IFVVfXBJC9IspXkQpI3l1IeqqrqRUlmk4wlWU3yhlLKp3d5/qkkv5Lku5JsJ3lbKeXX6qr/KO02FkkeT3J3kokkG0k+neRHSinnd3n++5P8wyR/3dz0gVLK/9z9yo/eHq+Lx5I81fyVJD9ZSvnILs//O0l+PclLkmwm+YlSyodqKP3ItXldfCHJBy972DOSnCmlfOUuz//5JD+W5Inmpj8opfyLbtbcbVVV/cskP5/kG0opn6qq6qVJ3pvkxiSPJXl9KeWvdnnewLwuWi4fizTeI96bRtPIzTQaR/5YKeXJXZ53f5LnJllrbvrlUsqv11ByV+zymthO8idpfN8kyR2llD/Z5Xlfk8Z77POTPJnkn5dS/kMtRXfJVa+JM0nefdnur06yUkq5dZfnvT+D8xnyWHb5rOjme0Vfha8kd5ZS/iZJqqr6x0nel+TWJO9J8q5Sym9WVfX6NAbrv9rl+f9Nkq9L8sI0gtqDVVXdV0p5rI7ij9huY/EPk/xiKeX+5va3J3lbkh9qc4y3lVLeWUOt3dbudZEkry2lfGqf5/9EkrVSytdVVfXCJB+rqurrSikXuldy11wzFs03zm9uPaCqql/K3t/7v1FK+YnullmPqqpuTfLSJJ9t/n04yW8m+cFSygNVVf1MGt8jb9zl6YP0urhmLNIIXz9eSnmwOS73pPFv/p/aHOIt/R4+k13HoeXvd/B/+6+T/D+llFdWVfWyJL9ZVdWLSil92a386rEopXw8V75XfDB730ZnUD5Dkqs+K7r9XtFX046tD5Wmr0iyVVXVV6fxQXtPc/s9SW6tqursLof4/iR3lVK2mmeDPpjkn3az5m7ZbSxKKZ9rBa+mP0zyvFoL64HdxuKAh/j+NAJ7mmdM/2OS246munrtNxZVVZ1O44eQ99VZVy9UVTWa5F1JfvSyzS9J8lQppfWB8p4k39fmEAPzuthtLEopj5VSHmz+eSvJ/5sBf79o85o4iO9L4zWT5mtoPcnfO5rq6rXfWDQ/W1+Zxpm+k6ir7xX9duYrVVX9WhoviKE0pg+fk+QvSikXk6SUcrGqqiea26+ebnturvxp58+aj+tLu4zF5fuG0/im+p09DvHjVVX9SJLlJD9VSnmkW7V22x5j8VtVVQ2l8dPbT5dSvrDL00/M6yLJ96Tx/fLJPQ7xA1VVvTLJSpJ/WUpZ6E6lXfevkvxmKeWxqqpa2674vy6l/HVVVcNVVX1lKeVzVz1/kF4Xu43FJVVV3ZjGT/Q/tccx3l5V1b9O8sdpTMv8RVcq7a69xuH+qqpGkpxL8vOllCvu3VdV1ViSoVLKX1+2ufWa+KMu1twte74mkrwhye+VUv7zHscYmM+QXPVZkS6/V/TVma8kKaX8s1LKc9MYnLf3up5e2mcsfjWNNT/tTgn/j0m+rpTyDUnmkvxuc01cX2ozFi8vpXxTGjdwH0r7sRgo+7wu3pi9z3q9J8kLSinf2Hzuv2t+6PSVqqqm0jgj8e79Hjvo9huLZuD435L8fiml3Q9rd5RSXpzGlNRSkv+9G7V20z7j8NxSyt9L8g+SfH2Sn62ztrp1+P3x32bv94pB+gyp/bOi78JXSynl7iTfmeTPkzy79Z/e/P1ZaSw+v9qf5crT6s9t87i+0hqL1odkVVXvSGNd2/c3pxN2e85ftPaVUn4jyc1Jvramkrvm8rEopTze3LaexpvMt7d52kl5XTw7yXSS39rjOSullC83//x/pTEO/2UN5R616SQvTvKZ5mLar03ykTTWfF76v66q6qvSnLLf5RiD8rrYdSyqqnpl8/3yt5J8Pslb2h3gsu+li0l+OclLm2fX+0nbcbjs37eW5Neyy3tFKWU1ufSaaRm410SSNBeaf2WSD7c7wCB9hrT5rLji+/+o3yv65punqqqbq6p6zmV/f3WSzyX5qyQPJbm9uev2JA/udoVfkg8k+eHmqcOzSV6T5P/sbuVHb4+x+FxVVb+Qxlz1a64+bX7VMZ592Z9fleRikr6bRthjLJ6qquormtuGkvxAGq+T3XwgyY80H/vCNH76+d1u1t0Ne70umpvuTPLvWx8ibY5x+evim9O4qqt0peAuKqW8rZTyrFLK80spz0/jh7RXpXE278bmYukkeVMa//+7GYjXxR5jcV+S96fxvf9D7RaNV1U10rzKr+X2JH/S7ge742qPcfij5rRr6yzga7P3e8Wbmo99WRpXwX2i27UftXZjUUr5veZD3pjk7lLKZrtjDNBnyE1tPis+kS6+V/TTmq+bknygqqqb0vhP/lySV5dStquqelOS2aqqfi6Nn+De0HpSVVUfTvJzpZT/mMbCwW9LowVDkvyrUspn6vxHHJFdxyKN0+U/leTRJB9vzuN/ppTyvUlSVdVDSf5RKeWJNMbra9JYkL2W5Hv2+kY7xtqNxdck+e3mT/ankjycRguFJNeMxduTvL+qqj9tHuOfl1K+WO8/40i0/R5p7v/B7HJ246rvkV+oquolzedvpDHdtFJH8XUopWxVVXVHkvdWVXVDmpePt/YP6OuindvS+Ld/Ksknmu8Xf1BK+RdVVT0ryYdLKd+cZDTJv29erDGUxgfsD/So5m64JY3Xw3aSpyX5eJrTjleNQ5L8D2lc4XhnGq0m7ui3ELqfZhD9/jQ+K6/eN4ifIbt+VnT7vWJoe7svr5AFAOhLfTPtCAAwCIQvAIAaCV8AADUSvgAAaiR8AQDUSPgCAKiR8AUAUCPhCwCgRv8/PHTiQ414nPYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "01012A_1525321876\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "01012A_1525865796\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for b in batch:\n",
    "    \n",
    "    plt.figure(figsize=(10,10))\n",
    "    plt.scatter(b['lat_seg_b'], b['lon_seg_b'])\n",
    "    plt.scatter(b['lat'], b['lon'])\n",
    "    print(b['flight_id'])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " 1525173239.0,\n",
       " 1525173279.0]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "point_dct['ep_seg_b']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " 1525173239.0,\n",
       " 1525173279.0,\n",
       " 1525173303.0]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "point_dct['ep_seg_e']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(30,50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, nan, nan, nan]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[i if i < 6 else np.nan for i in [1,2,3,4,5,6,7,8]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([   0.,   20.,   40.,   60.,   80.,  100.,  120.,  140.,  160.,\n",
       "        180.,  200.,  220.,  240.,  260.,  280.,  300.,  320.,  340.,\n",
       "        360.,  380.,  400.,  420.,  440.,  460.,  480.,  500.,  520.,\n",
       "        540.,  560.,  580.,  600.,  620.,  640.,  660.,  680.,  700.,\n",
       "        720.,  740.,  760.,  780.,  800.,  820.,  840.,  860.,  880.,\n",
       "        900.,  920.,  940.,  960.,  980., 1000., 1020., 1040., 1060.,\n",
       "       1080., 1100., 1120., 1140., 1160., 1180., 1200.])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.linspace(0,1200,61)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 5, 6, 8]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted([3,5,6,8,1,2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(range(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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